Pandas Profiling Report

Dataset statistics

Number of variables	116
Number of observations	8403
Missing cells	41707
Missing cells (%)	4.3%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	7.4 MiB
Average record size in memory	928.0 B

Variable types

Categorical	93
Numeric	23

Alerts

`ID` has a high cardinality: 8403 distinct values	High cardinality
`year` is highly correlated with `BP16_1` and 1 other fields	High correlation
`sex` is highly correlated with `HE_ht` and 2 other fields	High correlation
`HE_ht` is highly correlated with `sex` and 3 other fields	High correlation
`HE_wt` is highly correlated with `HE_ht` and 2 other fields	High correlation
`HE_BMI` is highly correlated with `HE_wt` and 1 other fields	High correlation
`M_2_yr` is highly correlated with `M_2_rs` and 28 other fields	High correlation
`M_2_rs` is highly correlated with `M_2_yr` and 28 other fields	High correlation
`LQ_1EQL` is highly correlated with `LQ_2EQL` and 17 other fields	High correlation
`LQ_2EQL` is highly correlated with `LQ_1EQL` and 32 other fields	High correlation
`LQ_3EQL` is highly correlated with `LQ_1EQL` and 23 other fields	High correlation
`LQ_4EQL` is highly correlated with `LQ_1EQL` and 17 other fields	High correlation
`LQ_5EQL` is highly correlated with `LQ_1EQL` and 29 other fields	High correlation
`BD2_1` is highly correlated with `BD2_31` and 1 other fields	High correlation
`BD2_31` is highly correlated with `BD2_1` and 1 other fields	High correlation
`dr_month` is highly correlated with `BD2_1` and 1 other fields	High correlation
`BP16_1` is highly correlated with `year` and 1 other fields	High correlation
`BP16_2` is highly correlated with `year` and 1 other fields	High correlation
`BP1` is highly correlated with `mh_stress`	High correlation
`mh_stress` is highly correlated with `BP1`	High correlation
`BS1_1` is highly correlated with `sex` and 2 other fields	High correlation
`BS3_1` is highly correlated with `sex` and 4 other fields	High correlation
`BS3_2` is highly correlated with `BS3_1` and 2 other fields	High correlation
`BS3_3` is highly correlated with `BS3_2` and 1 other fields	High correlation
`BS12_47` is highly correlated with `BS3_3`	High correlation
`sm_presnt` is highly correlated with `BS3_1` and 1 other fields	High correlation
`BE3_71` is highly correlated with `M_2_yr` and 39 other fields	High correlation
`BE3_72` is highly correlated with `M_2_yr` and 39 other fields	High correlation
`BE3_81` is highly correlated with `M_2_yr` and 35 other fields	High correlation
`BE3_82` is highly correlated with `M_2_yr` and 35 other fields	High correlation
`BE3_75` is highly correlated with `M_2_yr` and 38 other fields	High correlation
`BE3_76` is highly correlated with `M_2_yr` and 38 other fields	High correlation
`BE3_85` is highly correlated with `LQ_2EQL` and 29 other fields	High correlation
`BE3_86` is highly correlated with `LQ_2EQL` and 29 other fields	High correlation
`BE3_91` is highly correlated with `BE3_71` and 12 other fields	High correlation
`BE3_32` is highly correlated with `BE3_91`	High correlation
`BE5_1` is highly correlated with `BE3_71` and 22 other fields	High correlation
`pa_aerobic` is highly correlated with `BE3_91`	High correlation
`DI1_pr` is highly correlated with `HE_HP`	High correlation
`DI2_pr` is highly correlated with `HE_HCHOL`	High correlation
`DI3_pr` is highly correlated with `M_2_yr` and 30 other fields	High correlation
`DI4_pr` is highly correlated with `DI5_pr` and 1 other fields	High correlation
`DI5_pr` is highly correlated with `M_2_yr` and 36 other fields	High correlation
`DM2_pr` is highly correlated with `BE3_71` and 13 other fields	High correlation
`DM3_pr` is highly correlated with `M_2_yr` and 35 other fields	High correlation
`DM4_pr` is highly correlated with `BE3_71` and 23 other fields	High correlation
`DJ2_pr` is highly correlated with `M_2_yr` and 32 other fields	High correlation
`DJ4_pr` is highly correlated with `M_2_yr` and 34 other fields	High correlation
`DJ6_pr` is highly correlated with `M_2_yr` and 34 other fields	High correlation
`DJ8_pr` is highly correlated with `M_2_yr` and 32 other fields	High correlation
`DI6_pr` is highly correlated with `M_2_yr` and 33 other fields	High correlation
`DF2_pr` is highly correlated with `M_2_yr` and 32 other fields	High correlation
`DL1_pr` is highly correlated with `M_2_yr` and 38 other fields	High correlation
`DE1_pr` is highly correlated with `HE_DM_HbA1c`	High correlation
`DE2_pr` is highly correlated with `M_2_yr` and 35 other fields	High correlation
`DH4_pr` is highly correlated with `M_2_yr` and 35 other fields	High correlation
`DC1_pr` is highly correlated with `M_2_yr` and 36 other fields	High correlation
`DC2_pr` is highly correlated with `M_2_yr` and 39 other fields	High correlation
`DC3_pr` is highly correlated with `M_2_yr` and 38 other fields	High correlation
`DC4_pr` is highly correlated with `M_2_yr` and 39 other fields	High correlation
`DC5_pr` is highly correlated with `M_2_yr` and 39 other fields	High correlation
`DC6_pr` is highly correlated with `M_2_yr` and 39 other fields	High correlation
`DC7_pr` is highly correlated with `M_2_yr` and 39 other fields	High correlation
`DK8_pr` is highly correlated with `M_2_yr` and 38 other fields	High correlation
`DK9_pr` is highly correlated with `M_2_yr` and 39 other fields	High correlation
`DK4_pr` is highly correlated with `M_2_yr` and 39 other fields	High correlation
`HE_THfh1` is highly correlated with `HE_THfh2` and 17 other fields	High correlation
`HE_THfh2` is highly correlated with `HE_THfh1` and 17 other fields	High correlation
`HE_THfh3` is highly correlated with `HE_THfh1` and 16 other fields	High correlation
`HE_HBfh1` is highly correlated with `HE_THfh1` and 17 other fields	High correlation
`HE_HBfh2` is highly correlated with `HE_THfh1` and 17 other fields	High correlation
`HE_HBfh3` is highly correlated with `HE_THfh1` and 16 other fields	High correlation
`HE_fh` is highly correlated with `HE_HPfh2` and 2 other fields	High correlation
`HE_HPfh1` is highly correlated with `HE_THfh1` and 12 other fields	High correlation
`HE_HPfh2` is highly correlated with `HE_THfh1` and 13 other fields	High correlation
`HE_HPfh3` is highly correlated with `HE_THfh3` and 6 other fields	High correlation
`HE_HLfh1` is highly correlated with `HE_THfh1` and 17 other fields	High correlation
`HE_HLfh2` is highly correlated with `HE_THfh1` and 17 other fields	High correlation
`HE_HLfh3` is highly correlated with `HE_THfh1` and 14 other fields	High correlation
`HE_IHDfh1` is highly correlated with `HE_THfh1` and 17 other fields	High correlation
`HE_IHDfh2` is highly correlated with `HE_THfh1` and 17 other fields	High correlation
`HE_IHDfh3` is highly correlated with `HE_THfh1` and 14 other fields	High correlation
`HE_STRfh1` is highly correlated with `HE_THfh1` and 12 other fields	High correlation
`HE_STRfh2` is highly correlated with `HE_THfh1` and 15 other fields	High correlation
`HE_STRfh3` is highly correlated with `HE_THfh1` and 14 other fields	High correlation
`HE_DMfh1` is highly correlated with `HE_THfh1` and 14 other fields	High correlation
`HE_DMfh2` is highly correlated with `HE_THfh1` and 17 other fields	High correlation
`HE_DMfh3` is highly correlated with `HE_THfh3` and 7 other fields	High correlation
`HE_HP` is highly correlated with `DI1_pr`	High correlation
`HE_obe` is highly correlated with `HE_wt` and 1 other fields	High correlation
`HE_DM_HbA1c` is highly correlated with `DE1_pr`	High correlation
`HE_HCHOL` is highly correlated with `DI2_pr`	High correlation
`L_BR` is highly correlated with `L_BR_FQ`	High correlation
`L_LN` is highly correlated with `L_LN_FQ`	High correlation
`L_BR_FQ` is highly correlated with `L_BR`	High correlation
`L_LN_FQ` is highly correlated with `L_LN`	High correlation
`sex` is highly correlated with `HE_ht` and 1 other fields	High correlation
`HE_ht` is highly correlated with `sex` and 2 other fields	High correlation
`HE_wt` is highly correlated with `HE_ht` and 2 other fields	High correlation
`HE_BMI` is highly correlated with `HE_wt` and 1 other fields	High correlation
`M_2_yr` is highly correlated with `LQ_1EQL` and 15 other fields	High correlation
`LQ_1EQL` is highly correlated with `M_2_yr` and 16 other fields	High correlation
`LQ_2EQL` is highly correlated with `M_2_yr` and 16 other fields	High correlation
`LQ_3EQL` is highly correlated with `M_2_yr` and 16 other fields	High correlation
`LQ_4EQL` is highly correlated with `M_2_yr` and 15 other fields	High correlation
`LQ_5EQL` is highly correlated with `M_2_yr` and 16 other fields	High correlation
`BO1_1` is highly correlated with `BP1` and 3 other fields	High correlation
`BD2_1` is highly correlated with `BD2_31` and 1 other fields	High correlation
`BD2_31` is highly correlated with `BD2_1` and 1 other fields	High correlation
`dr_month` is highly correlated with `BD2_1` and 1 other fields	High correlation
`BP16_1` is highly correlated with `BP16_2`	High correlation
`BP16_2` is highly correlated with `BP16_1`	High correlation
`BP1` is highly correlated with `BO1_1` and 4 other fields	High correlation
`mh_stress` is highly correlated with `BP1`	High correlation
`BS1_1` is highly correlated with `BO1_1` and 4 other fields	High correlation
`BS3_1` is highly correlated with `sex` and 4 other fields	High correlation
`BS3_2` is highly correlated with `BS3_1` and 1 other fields	High correlation
`BS9_2` is highly correlated with `BO1_1` and 3 other fields	High correlation
`BS13` is highly correlated with `BO1_1` and 3 other fields	High correlation
`sm_presnt` is highly correlated with `BS3_1` and 1 other fields	High correlation
`BE3_71` is highly correlated with `M_2_yr` and 15 other fields	High correlation
`BE3_72` is highly correlated with `M_2_yr` and 13 other fields	High correlation
`BE3_81` is highly correlated with `M_2_yr` and 15 other fields	High correlation
`BE3_75` is highly correlated with `M_2_yr` and 16 other fields	High correlation
`BE3_76` is highly correlated with `BE3_75` and 1 other fields	High correlation
`BE3_85` is highly correlated with `M_2_yr` and 17 other fields	High correlation
`BE3_91` is highly correlated with `M_2_yr` and 17 other fields	High correlation
`BE8_1` is highly correlated with `M_2_yr` and 13 other fields	High correlation
`BE3_31` is highly correlated with `M_2_yr` and 15 other fields	High correlation
`BE3_32` is highly correlated with `LQ_1EQL` and 6 other fields	High correlation
`BE5_1` is highly correlated with `M_2_yr` and 13 other fields	High correlation
`pa_aerobic` is highly correlated with `BE3_91`	High correlation
`DI1_pr` is highly correlated with `HE_HP`	High correlation
`DI2_pr` is highly correlated with `HE_HCHOL`	High correlation
`DI4_pr` is highly correlated with `DI5_pr` and 1 other fields	High correlation
`DI5_pr` is highly correlated with `DI4_pr`	High correlation
`DI6_pr` is highly correlated with `DI4_pr`	High correlation
`DE1_pr` is highly correlated with `HE_DM_HbA1c`	High correlation
`DC2_pr` is highly correlated with `M_2_yr` and 11 other fields	High correlation
`DK9_pr` is highly correlated with `M_2_yr` and 10 other fields	High correlation
`HE_THfh1` is highly correlated with `HE_THfh2` and 20 other fields	High correlation
`HE_THfh2` is highly correlated with `HE_THfh1` and 20 other fields	High correlation
`HE_THfh3` is highly correlated with `HE_THfh1` and 20 other fields	High correlation
`HE_HBfh1` is highly correlated with `HE_THfh1` and 20 other fields	High correlation
`HE_HBfh2` is highly correlated with `HE_THfh1` and 20 other fields	High correlation
`HE_HBfh3` is highly correlated with `HE_THfh1` and 20 other fields	High correlation
`HE_fh` is highly correlated with `HE_THfh1` and 20 other fields	High correlation
`HE_HPfh1` is highly correlated with `HE_THfh1` and 20 other fields	High correlation
`HE_HPfh2` is highly correlated with `HE_THfh1` and 20 other fields	High correlation
`HE_HPfh3` is highly correlated with `HE_THfh1` and 20 other fields	High correlation
`HE_HLfh1` is highly correlated with `HE_THfh1` and 20 other fields	High correlation
`HE_HLfh2` is highly correlated with `HE_THfh1` and 20 other fields	High correlation
`HE_HLfh3` is highly correlated with `HE_THfh1` and 20 other fields	High correlation
`HE_IHDfh1` is highly correlated with `HE_THfh1` and 20 other fields	High correlation
`HE_IHDfh2` is highly correlated with `HE_THfh1` and 20 other fields	High correlation
`HE_IHDfh3` is highly correlated with `HE_THfh1` and 20 other fields	High correlation
`HE_STRfh1` is highly correlated with `HE_THfh1` and 20 other fields	High correlation
`HE_STRfh2` is highly correlated with `HE_THfh1` and 20 other fields	High correlation
`HE_STRfh3` is highly correlated with `HE_THfh1` and 20 other fields	High correlation
`HE_DMfh1` is highly correlated with `HE_THfh1` and 20 other fields	High correlation
`HE_DMfh2` is highly correlated with `HE_THfh1` and 20 other fields	High correlation
`HE_DMfh3` is highly correlated with `HE_THfh1` and 20 other fields	High correlation
`HE_HP` is highly correlated with `DI1_pr`	High correlation
`HE_obe` is highly correlated with `HE_wt` and 1 other fields	High correlation
`HE_DM_HbA1c` is highly correlated with `DE1_pr`	High correlation
`HE_HCHOL` is highly correlated with `DI2_pr`	High correlation
`T_NQ_OCP` is highly correlated with `T_Q_VN`	High correlation
`T_Q_VN` is highly correlated with `T_NQ_OCP`	High correlation
`L_BR` is highly correlated with `L_BR_FQ`	High correlation
`L_LN` is highly correlated with `L_LN_FQ`	High correlation
`L_BR_FQ` is highly correlated with `L_BR`	High correlation
`L_LN_FQ` is highly correlated with `L_LN`	High correlation
`year` is highly correlated with `BP16_1` and 1 other fields	High correlation
`sex` is highly correlated with `HE_ht` and 2 other fields	High correlation
`HE_ht` is highly correlated with `sex`	High correlation
`HE_wt` is highly correlated with `HE_BMI` and 1 other fields	High correlation
`HE_BMI` is highly correlated with `HE_wt` and 1 other fields	High correlation
`M_2_yr` is highly correlated with `M_2_rs` and 28 other fields	High correlation
`M_2_rs` is highly correlated with `M_2_yr` and 28 other fields	High correlation
`LQ_1EQL` is highly correlated with `LQ_2EQL` and 11 other fields	High correlation
`LQ_2EQL` is highly correlated with `LQ_1EQL` and 31 other fields	High correlation
`LQ_3EQL` is highly correlated with `LQ_1EQL` and 20 other fields	High correlation
`LQ_4EQL` is highly correlated with `LQ_1EQL` and 6 other fields	High correlation
`LQ_5EQL` is highly correlated with `LQ_1EQL` and 24 other fields	High correlation
`BD2_1` is highly correlated with `BD2_31` and 1 other fields	High correlation
`BD2_31` is highly correlated with `BD2_1` and 1 other fields	High correlation
`dr_month` is highly correlated with `BD2_1` and 1 other fields	High correlation
`BP16_1` is highly correlated with `year` and 1 other fields	High correlation
`BP16_2` is highly correlated with `year` and 1 other fields	High correlation
`BP1` is highly correlated with `mh_stress`	High correlation
`mh_stress` is highly correlated with `BP1`	High correlation
`BS1_1` is highly correlated with `sex` and 1 other fields	High correlation
`BS3_1` is highly correlated with `sex` and 3 other fields	High correlation
`BS3_2` is highly correlated with `BS3_1` and 2 other fields	High correlation
`BS3_3` is highly correlated with `BS3_2` and 1 other fields	High correlation
`BS12_47` is highly correlated with `BS3_3`	High correlation
`sm_presnt` is highly correlated with `BS3_1` and 1 other fields	High correlation
`BE3_71` is highly correlated with `M_2_yr` and 39 other fields	High correlation
`BE3_72` is highly correlated with `M_2_yr` and 39 other fields	High correlation
`BE3_81` is highly correlated with `M_2_yr` and 34 other fields	High correlation
`BE3_82` is highly correlated with `M_2_yr` and 34 other fields	High correlation
`BE3_75` is highly correlated with `M_2_yr` and 35 other fields	High correlation
`BE3_76` is highly correlated with `M_2_yr` and 35 other fields	High correlation
`BE3_85` is highly correlated with `LQ_2EQL` and 27 other fields	High correlation
`BE3_86` is highly correlated with `LQ_2EQL` and 27 other fields	High correlation
`BE3_91` is highly correlated with `BE3_71` and 4 other fields	High correlation
`BE5_1` is highly correlated with `BE3_71` and 16 other fields	High correlation
`pa_aerobic` is highly correlated with `BE3_91`	High correlation
`DI1_pr` is highly correlated with `HE_HP`	High correlation
`DI2_pr` is highly correlated with `HE_HCHOL`	High correlation
`DI3_pr` is highly correlated with `M_2_yr` and 28 other fields	High correlation
`DI4_pr` is highly correlated with `DI5_pr` and 1 other fields	High correlation
`DI5_pr` is highly correlated with `M_2_yr` and 33 other fields	High correlation
`DM2_pr` is highly correlated with `BE3_71` and 10 other fields	High correlation
`DM3_pr` is highly correlated with `M_2_yr` and 33 other fields	High correlation
`DM4_pr` is highly correlated with `BE3_71` and 13 other fields	High correlation
`DJ2_pr` is highly correlated with `M_2_yr` and 31 other fields	High correlation
`DJ4_pr` is highly correlated with `M_2_yr` and 31 other fields	High correlation
`DJ6_pr` is highly correlated with `M_2_yr` and 31 other fields	High correlation
`DJ8_pr` is highly correlated with `M_2_yr` and 31 other fields	High correlation
`DI6_pr` is highly correlated with `M_2_yr` and 32 other fields	High correlation
`DF2_pr` is highly correlated with `M_2_yr` and 28 other fields	High correlation
`DL1_pr` is highly correlated with `M_2_yr` and 36 other fields	High correlation
`DE1_pr` is highly correlated with `HE_DM_HbA1c`	High correlation
`DE2_pr` is highly correlated with `M_2_yr` and 32 other fields	High correlation
`DH4_pr` is highly correlated with `M_2_yr` and 32 other fields	High correlation
`DC1_pr` is highly correlated with `M_2_yr` and 35 other fields	High correlation
`DC2_pr` is highly correlated with `M_2_yr` and 39 other fields	High correlation
`DC3_pr` is highly correlated with `M_2_yr` and 35 other fields	High correlation
`DC4_pr` is highly correlated with `M_2_yr` and 36 other fields	High correlation
`DC5_pr` is highly correlated with `M_2_yr` and 36 other fields	High correlation
`DC6_pr` is highly correlated with `M_2_yr` and 37 other fields	High correlation
`DC7_pr` is highly correlated with `M_2_yr` and 36 other fields	High correlation
`DK8_pr` is highly correlated with `M_2_yr` and 36 other fields	High correlation
`DK9_pr` is highly correlated with `M_2_yr` and 38 other fields	High correlation
`DK4_pr` is highly correlated with `M_2_yr` and 37 other fields	High correlation
`HE_THfh1` is highly correlated with `HE_THfh2` and 17 other fields	High correlation
`HE_THfh2` is highly correlated with `HE_THfh1` and 17 other fields	High correlation
`HE_THfh3` is highly correlated with `HE_THfh1` and 14 other fields	High correlation
`HE_HBfh1` is highly correlated with `HE_THfh1` and 17 other fields	High correlation
`HE_HBfh2` is highly correlated with `HE_THfh1` and 17 other fields	High correlation
`HE_HBfh3` is highly correlated with `HE_THfh1` and 15 other fields	High correlation
`HE_fh` is highly correlated with `HE_HPfh2` and 1 other fields	High correlation
`HE_HPfh1` is highly correlated with `HE_THfh1` and 12 other fields	High correlation
`HE_HPfh2` is highly correlated with `HE_THfh1` and 13 other fields	High correlation
`HE_HPfh3` is highly correlated with `HE_THfh3` and 6 other fields	High correlation
`HE_HLfh1` is highly correlated with `HE_THfh1` and 16 other fields	High correlation
`HE_HLfh2` is highly correlated with `HE_THfh1` and 17 other fields	High correlation
`HE_HLfh3` is highly correlated with `HE_THfh1` and 13 other fields	High correlation
`HE_IHDfh1` is highly correlated with `HE_THfh1` and 16 other fields	High correlation
`HE_IHDfh2` is highly correlated with `HE_THfh1` and 17 other fields	High correlation
`HE_IHDfh3` is highly correlated with `HE_THfh1` and 13 other fields	High correlation
`HE_STRfh1` is highly correlated with `HE_THfh1` and 12 other fields	High correlation
`HE_STRfh2` is highly correlated with `HE_THfh1` and 12 other fields	High correlation
`HE_STRfh3` is highly correlated with `HE_THfh1` and 11 other fields	High correlation
`HE_DMfh1` is highly correlated with `HE_THfh1` and 13 other fields	High correlation
`HE_DMfh2` is highly correlated with `HE_THfh1` and 14 other fields	High correlation
`HE_DMfh3` is highly correlated with `HE_THfh3` and 5 other fields	High correlation
`HE_HP` is highly correlated with `DI1_pr`	High correlation
`HE_obe` is highly correlated with `HE_wt` and 1 other fields	High correlation
`HE_DM_HbA1c` is highly correlated with `DE1_pr`	High correlation
`HE_HCHOL` is highly correlated with `DI2_pr`	High correlation
`L_BR` is highly correlated with `L_BR_FQ`	High correlation
`L_LN` is highly correlated with `L_LN_FQ`	High correlation
`L_BR_FQ` is highly correlated with `L_BR`	High correlation
`L_LN_FQ` is highly correlated with `L_LN`	High correlation
`BS8_2` is highly correlated with `BS1_1` and 6 other fields	High correlation
`L_BR_FQ` is highly correlated with `L_BR`	High correlation
`LQ_4EQL` is highly correlated with `DC2_pr` and 33 other fields	High correlation
`DC2_pr` is highly correlated with `LQ_4EQL` and 33 other fields	High correlation
`DI3_pr` is highly correlated with `LQ_4EQL` and 33 other fields	High correlation
`LQ_1EQL` is highly correlated with `LQ_4EQL` and 33 other fields	High correlation
`DJ8_pr` is highly correlated with `LQ_4EQL` and 33 other fields	High correlation
`L_LN` is highly correlated with `L_LN_FQ`	High correlation
`mh_stress` is highly correlated with `BP1`	High correlation
`HE_DMfh3` is highly correlated with `HE_HLfh3` and 6 other fields	High correlation
`DM4_pr` is highly correlated with `LQ_4EQL` and 33 other fields	High correlation
`DJ6_pr` is highly correlated with `LQ_4EQL` and 33 other fields	High correlation
`HE_HLfh3` is highly correlated with `HE_DMfh3` and 6 other fields	High correlation
`HE_HLfh2` is highly correlated with `HE_THfh1` and 12 other fields	High correlation
`HE_fh` is highly correlated with `HE_DMfh3` and 9 other fields	High correlation
`DM2_pr` is highly correlated with `LQ_4EQL` and 33 other fields	High correlation
`M_2_yr` is highly correlated with `LQ_4EQL` and 33 other fields	High correlation
`BS1_1` is highly correlated with `BS8_2` and 7 other fields	High correlation
`DM3_pr` is highly correlated with `LQ_4EQL` and 33 other fields	High correlation
`DF2_pr` is highly correlated with `LQ_4EQL` and 33 other fields	High correlation
`DJ2_pr` is highly correlated with `LQ_4EQL` and 33 other fields	High correlation
`DI1_pr` is highly correlated with `HE_HP`	High correlation
`sm_presnt` is highly correlated with `BS3_1`	High correlation
`DE2_pr` is highly correlated with `LQ_4EQL` and 33 other fields	High correlation
`BO2_1` is highly correlated with `BS8_2` and 4 other fields	High correlation
`BE3_81` is highly correlated with `LQ_4EQL` and 33 other fields	High correlation
`DI5_pr` is highly correlated with `LQ_4EQL` and 34 other fields	High correlation
`HE_THfh1` is highly correlated with `HE_HLfh2` and 12 other fields	High correlation
`DC3_pr` is highly correlated with `LQ_4EQL` and 33 other fields	High correlation
`HE_HBfh1` is highly correlated with `HE_HLfh2` and 12 other fields	High correlation
`DC6_pr` is highly correlated with `LQ_4EQL` and 33 other fields	High correlation
`HE_DMfh1` is highly correlated with `HE_HLfh2` and 12 other fields	High correlation
`BO1_1` is highly correlated with `BO2_1` and 1 other fields	High correlation
`DK4_pr` is highly correlated with `LQ_4EQL` and 33 other fields	High correlation
`LQ_3EQL` is highly correlated with `LQ_4EQL` and 33 other fields	High correlation
`DC7_pr` is highly correlated with `LQ_4EQL` and 33 other fields	High correlation
`DL1_pr` is highly correlated with `LQ_4EQL` and 33 other fields	High correlation
`HE_HP` is highly correlated with `DI1_pr`	High correlation
`DI6_pr` is highly correlated with `LQ_4EQL` and 34 other fields	High correlation
`BS13` is highly correlated with `BS8_2` and 7 other fields	High correlation
`DC1_pr` is highly correlated with `LQ_4EQL` and 33 other fields	High correlation
`BE3_85` is highly correlated with `LQ_4EQL` and 33 other fields	High correlation
`HE_IHDfh1` is highly correlated with `HE_HLfh2` and 12 other fields	High correlation
`HE_HPfh2` is highly correlated with `HE_HLfh2` and 13 other fields	High correlation
`LQ_5EQL` is highly correlated with `LQ_4EQL` and 33 other fields	High correlation
`DI2_pr` is highly correlated with `HE_HCHOL`	High correlation
`DC5_pr` is highly correlated with `LQ_4EQL` and 33 other fields	High correlation
`HE_HPfh3` is highly correlated with `HE_DMfh3` and 6 other fields	High correlation
`DH4_pr` is highly correlated with `LQ_4EQL` and 33 other fields	High correlation
`DJ4_pr` is highly correlated with `LQ_4EQL` and 33 other fields	High correlation
`LQ_2EQL` is highly correlated with `LQ_4EQL` and 33 other fields	High correlation
`BS9_2` is highly correlated with `BS8_2` and 6 other fields	High correlation
`HE_IHDfh3` is highly correlated with `HE_DMfh3` and 6 other fields	High correlation
`HE_DM_HbA1c` is highly correlated with `DE1_pr`	High correlation
`DE1_pr` is highly correlated with `HE_DM_HbA1c`	High correlation
`T_Q_VN` is highly correlated with `T_NQ_OCP`	High correlation
`BP1` is highly correlated with `BS8_2` and 4 other fields	High correlation
`HE_HBfh2` is highly correlated with `HE_HLfh2` and 13 other fields	High correlation
`HE_THfh3` is highly correlated with `HE_DMfh3` and 6 other fields	High correlation
`BE3_91` is highly correlated with `LQ_4EQL` and 34 other fields	High correlation
`HE_HBfh3` is highly correlated with `HE_DMfh3` and 7 other fields	High correlation
`L_LN_FQ` is highly correlated with `L_LN`	High correlation
`BS12_47` is highly correlated with `BS8_2` and 4 other fields	High correlation
`DK8_pr` is highly correlated with `LQ_4EQL` and 33 other fields	High correlation
`DC4_pr` is highly correlated with `LQ_4EQL` and 33 other fields	High correlation
`L_BR` is highly correlated with `L_BR_FQ`	High correlation
`HE_THfh2` is highly correlated with `HE_HLfh2` and 12 other fields	High correlation
`HE_DMfh2` is highly correlated with `HE_HLfh2` and 13 other fields	High correlation
`DK9_pr` is highly correlated with `LQ_4EQL` and 33 other fields	High correlation
`HE_STRfh3` is highly correlated with `HE_DMfh3` and 6 other fields	High correlation
`BE3_71` is highly correlated with `LQ_4EQL` and 33 other fields	High correlation
`HE_IHDfh2` is highly correlated with `HE_HLfh2` and 12 other fields	High correlation
`sex` is highly correlated with `BS1_1` and 1 other fields	High correlation
`HE_STRfh1` is highly correlated with `HE_HLfh2` and 12 other fields	High correlation
`T_NQ_OCP` is highly correlated with `T_Q_VN`	High correlation
`pa_aerobic` is highly correlated with `BE3_91`	High correlation
`HE_HLfh1` is highly correlated with `HE_HLfh2` and 12 other fields	High correlation
`BE3_75` is highly correlated with `LQ_4EQL` and 33 other fields	High correlation
`DI4_pr` is highly correlated with `DI5_pr` and 1 other fields	High correlation
`HE_STRfh2` is highly correlated with `HE_HLfh2` and 13 other fields	High correlation
`HE_HPfh1` is highly correlated with `HE_HLfh2` and 12 other fields	High correlation
`HE_HCHOL` is highly correlated with `DI2_pr`	High correlation
`BS3_1` is highly correlated with `BS8_2` and 6 other fields	High correlation
`sex` is highly correlated with `HE_ht` and 6 other fields	High correlation
`HE_ht` is highly correlated with `sex` and 3 other fields	High correlation
`HE_wt` is highly correlated with `sex` and 3 other fields	High correlation
`HE_BMI` is highly correlated with `HE_wt` and 2 other fields	High correlation
`M_2_yr` is highly correlated with `M_2_rs` and 46 other fields	High correlation
`M_2_rs` is highly correlated with `M_2_yr` and 45 other fields	High correlation
`LQ_1EQL` is highly correlated with `M_2_yr` and 46 other fields	High correlation
`LQ_2EQL` is highly correlated with `M_2_yr` and 46 other fields	High correlation
`LQ_3EQL` is highly correlated with `M_2_yr` and 46 other fields	High correlation
`LQ_4EQL` is highly correlated with `M_2_yr` and 46 other fields	High correlation
`LQ_5EQL` is highly correlated with `M_2_yr` and 46 other fields	High correlation
`BO1_1` is highly correlated with `BO2_1` and 13 other fields	High correlation
`BO2_1` is highly correlated with `HE_BMI` and 13 other fields	High correlation
`BD1_11` is highly correlated with `sex` and 15 other fields	High correlation
`BD2_1` is highly correlated with `BO1_1` and 13 other fields	High correlation
`BD2_31` is highly correlated with `BO1_1` and 13 other fields	High correlation
`dr_month` is highly correlated with `sex` and 4 other fields	High correlation
`BP16_1` is highly correlated with `M_2_yr` and 32 other fields	High correlation
`BP16_2` is highly correlated with `M_2_rs` and 13 other fields	High correlation
`BP1` is highly correlated with `BO1_1` and 13 other fields	High correlation
`mh_stress` is highly correlated with `BP1`	High correlation
`BS1_1` is highly correlated with `sex` and 46 other fields	High correlation
`BS3_1` is highly correlated with `sex` and 15 other fields	High correlation
`BS3_2` is highly correlated with `M_2_rs` and 25 other fields	High correlation
`BS3_3` is highly correlated with `BO1_1` and 12 other fields	High correlation
`BS12_47` is highly correlated with `BO1_1` and 12 other fields	High correlation
`BS8_2` is highly correlated with `M_2_yr` and 42 other fields	High correlation
`BS9_2` is highly correlated with `M_2_yr` and 32 other fields	High correlation
`BS13` is highly correlated with `M_2_rs` and 24 other fields	High correlation
`sm_presnt` is highly correlated with `BS3_1` and 1 other fields	High correlation
`BE3_71` is highly correlated with `M_2_yr` and 45 other fields	High correlation
`BE3_72` is highly correlated with `M_2_yr` and 45 other fields	High correlation
`BE3_81` is highly correlated with `M_2_yr` and 45 other fields	High correlation
`BE3_82` is highly correlated with `M_2_yr` and 45 other fields	High correlation
`BE3_75` is highly correlated with `M_2_yr` and 45 other fields	High correlation
`BE3_76` is highly correlated with `M_2_yr` and 45 other fields	High correlation
`BE3_85` is highly correlated with `M_2_yr` and 46 other fields	High correlation
`BE3_86` is highly correlated with `M_2_yr` and 46 other fields	High correlation
`BE3_91` is highly correlated with `M_2_yr` and 46 other fields	High correlation
`BE8_1` is highly correlated with `M_2_yr` and 44 other fields	High correlation
`BE3_31` is highly correlated with `M_2_yr` and 47 other fields	High correlation
`BE3_32` is highly correlated with `M_2_yr` and 45 other fields	High correlation
`BE5_1` is highly correlated with `M_2_yr` and 42 other fields	High correlation
`pa_aerobic` is highly correlated with `BE3_85` and 2 other fields	High correlation
`DI1_pr` is highly correlated with `DI2_pr` and 2 other fields	High correlation
`DI2_pr` is highly correlated with `DI1_pr` and 2 other fields	High correlation
`DI3_pr` is highly correlated with `M_2_yr` and 45 other fields	High correlation
`DI4_pr` is highly correlated with `DI5_pr` and 1 other fields	High correlation
`DI5_pr` is highly correlated with `M_2_yr` and 45 other fields	High correlation
`DM2_pr` is highly correlated with `M_2_yr` and 45 other fields	High correlation
`DM3_pr` is highly correlated with `M_2_yr` and 45 other fields	High correlation
`DM4_pr` is highly correlated with `sex` and 48 other fields	High correlation
`DJ2_pr` is highly correlated with `M_2_yr` and 46 other fields	High correlation
`DJ4_pr` is highly correlated with `M_2_yr` and 46 other fields	High correlation
`DJ6_pr` is highly correlated with `M_2_yr` and 46 other fields	High correlation
`DJ8_pr` is highly correlated with `M_2_yr` and 46 other fields	High correlation
`DI6_pr` is highly correlated with `M_2_yr` and 45 other fields	High correlation
`DF2_pr` is highly correlated with `M_2_yr` and 46 other fields	High correlation
`DL1_pr` is highly correlated with `M_2_yr` and 46 other fields	High correlation
`DE1_pr` is highly correlated with `DI1_pr` and 2 other fields	High correlation
`DE2_pr` is highly correlated with `M_2_yr` and 45 other fields	High correlation
`DH4_pr` is highly correlated with `M_2_yr` and 46 other fields	High correlation
`DC1_pr` is highly correlated with `M_2_yr` and 45 other fields	High correlation
`DC2_pr` is highly correlated with `M_2_yr` and 46 other fields	High correlation
`DC3_pr` is highly correlated with `M_2_yr` and 45 other fields	High correlation
`DC4_pr` is highly correlated with `M_2_yr` and 46 other fields	High correlation
`DC5_pr` is highly correlated with `M_2_yr` and 45 other fields	High correlation
`DC6_pr` is highly correlated with `M_2_yr` and 45 other fields	High correlation
`DC7_pr` is highly correlated with `M_2_yr` and 45 other fields	High correlation
`DK8_pr` is highly correlated with `M_2_yr` and 47 other fields	High correlation
`DK9_pr` is highly correlated with `M_2_yr` and 47 other fields	High correlation
`DK4_pr` is highly correlated with `M_2_yr` and 46 other fields	High correlation
`HE_THfh1` is highly correlated with `HE_THfh2` and 13 other fields	High correlation
`HE_THfh2` is highly correlated with `HE_THfh1` and 13 other fields	High correlation
`HE_THfh3` is highly correlated with `HE_HBfh3` and 6 other fields	High correlation
`HE_HBfh1` is highly correlated with `HE_THfh1` and 13 other fields	High correlation
`HE_HBfh2` is highly correlated with `HE_THfh1` and 14 other fields	High correlation
`HE_HBfh3` is highly correlated with `HE_THfh3` and 7 other fields	High correlation
`HE_fh` is highly correlated with `HE_THfh1` and 20 other fields	High correlation
`HE_HPfh1` is highly correlated with `HE_THfh1` and 13 other fields	High correlation
`HE_HPfh2` is highly correlated with `HE_THfh1` and 13 other fields	High correlation
`HE_HPfh3` is highly correlated with `HE_THfh3` and 6 other fields	High correlation
`HE_HLfh1` is highly correlated with `HE_THfh1` and 13 other fields	High correlation
`HE_HLfh2` is highly correlated with `HE_THfh1` and 13 other fields	High correlation
`HE_HLfh3` is highly correlated with `HE_THfh3` and 6 other fields	High correlation
`HE_IHDfh1` is highly correlated with `HE_THfh1` and 13 other fields	High correlation
`HE_IHDfh2` is highly correlated with `HE_THfh1` and 13 other fields	High correlation
`HE_IHDfh3` is highly correlated with `HE_THfh3` and 6 other fields	High correlation
`HE_STRfh1` is highly correlated with `HE_THfh1` and 13 other fields	High correlation
`HE_STRfh2` is highly correlated with `HE_THfh1` and 13 other fields	High correlation
`HE_STRfh3` is highly correlated with `HE_THfh3` and 6 other fields	High correlation
`HE_DMfh1` is highly correlated with `HE_THfh1` and 13 other fields	High correlation
`HE_DMfh2` is highly correlated with `HE_THfh1` and 13 other fields	High correlation
`HE_DMfh3` is highly correlated with `HE_THfh3` and 6 other fields	High correlation
`HE_HP` is highly correlated with `DI1_pr`	High correlation
`HE_obe` is highly correlated with `HE_wt` and 1 other fields	High correlation
`HE_DM_HbA1c` is highly correlated with `DE1_pr`	High correlation
`HE_HCHOL` is highly correlated with `DI2_pr`	High correlation
`HE_hepaB` is highly correlated with `DK8_pr`	High correlation
`HE_hepaC` is highly correlated with `DK9_pr`	High correlation
`T_NQ_OCP` is highly correlated with `T_Q_VN`	High correlation
`T_Q_VN` is highly correlated with `T_NQ_OCP`	High correlation
`L_BR` is highly correlated with `L_BR_FQ`	High correlation
`L_LN` is highly correlated with `L_LN_FQ`	High correlation
`L_DN` is highly correlated with `L_DN_FQ`	High correlation
`L_BR_FQ` is highly correlated with `L_BR`	High correlation
`L_LN_FQ` is highly correlated with `L_LN`	High correlation
`L_DN_FQ` is highly correlated with `L_DN`	High correlation
`HE_ht` has 354 (4.2%) missing values	Missing
`HE_wt` has 245 (2.9%) missing values	Missing
`HE_BMI` has 355 (4.2%) missing values	Missing
`M_2_yr` has 231 (2.7%) missing values	Missing
`M_2_rs` has 231 (2.7%) missing values	Missing
`LQ_1EQL` has 231 (2.7%) missing values	Missing
`LQ_2EQL` has 231 (2.7%) missing values	Missing
`LQ_3EQL` has 231 (2.7%) missing values	Missing
`LQ_4EQL` has 231 (2.7%) missing values	Missing
`LQ_5EQL` has 231 (2.7%) missing values	Missing
`BO1_1` has 231 (2.7%) missing values	Missing
`BO2_1` has 231 (2.7%) missing values	Missing
`BD1_11` has 231 (2.7%) missing values	Missing
`BD2_1` has 231 (2.7%) missing values	Missing
`BD2_31` has 231 (2.7%) missing values	Missing
`dr_month` has 392 (4.7%) missing values	Missing
`BP16_1` has 325 (3.9%) missing values	Missing
`BP16_2` has 324 (3.9%) missing values	Missing
`BP1` has 231 (2.7%) missing values	Missing
`mh_stress` has 420 (5.0%) missing values	Missing
`BS1_1` has 231 (2.7%) missing values	Missing
`BS3_1` has 231 (2.7%) missing values	Missing
`BS3_2` has 231 (2.7%) missing values	Missing
`BS3_3` has 231 (2.7%) missing values	Missing
`BS12_47` has 231 (2.7%) missing values	Missing
`BS8_2` has 231 (2.7%) missing values	Missing
`BS9_2` has 231 (2.7%) missing values	Missing
`BS13` has 231 (2.7%) missing values	Missing
`sm_presnt` has 408 (4.9%) missing values	Missing
`BE3_71` has 231 (2.7%) missing values	Missing
`BE3_72` has 231 (2.7%) missing values	Missing
`BE3_81` has 231 (2.7%) missing values	Missing
`BE3_82` has 231 (2.7%) missing values	Missing
`BE3_75` has 231 (2.7%) missing values	Missing
`BE3_76` has 231 (2.7%) missing values	Missing
`BE3_85` has 231 (2.7%) missing values	Missing
`BE3_86` has 231 (2.7%) missing values	Missing
`BE3_91` has 231 (2.7%) missing values	Missing
`BE8_1` has 231 (2.7%) missing values	Missing
`BE3_31` has 231 (2.7%) missing values	Missing
`BE3_32` has 231 (2.7%) missing values	Missing
`BE5_1` has 231 (2.7%) missing values	Missing
`pa_aerobic` has 1012 (12.0%) missing values	Missing
`DI1_pr` has 231 (2.7%) missing values	Missing
`DI2_pr` has 231 (2.7%) missing values	Missing
`DI3_pr` has 231 (2.7%) missing values	Missing
`DI4_pr` has 906 (10.8%) missing values	Missing
`DI5_pr` has 231 (2.7%) missing values	Missing
`DM2_pr` has 231 (2.7%) missing values	Missing
`DM3_pr` has 231 (2.7%) missing values	Missing
`DM4_pr` has 231 (2.7%) missing values	Missing
`DJ2_pr` has 231 (2.7%) missing values	Missing
`DJ4_pr` has 231 (2.7%) missing values	Missing
`DJ6_pr` has 231 (2.7%) missing values	Missing
`DJ8_pr` has 231 (2.7%) missing values	Missing
`DI6_pr` has 231 (2.7%) missing values	Missing
`DF2_pr` has 231 (2.7%) missing values	Missing
`DL1_pr` has 231 (2.7%) missing values	Missing
`DE1_pr` has 231 (2.7%) missing values	Missing
`DE2_pr` has 231 (2.7%) missing values	Missing
`DH4_pr` has 231 (2.7%) missing values	Missing
`DC1_pr` has 231 (2.7%) missing values	Missing
`DC2_pr` has 231 (2.7%) missing values	Missing
`DC3_pr` has 231 (2.7%) missing values	Missing
`DC4_pr` has 231 (2.7%) missing values	Missing
`DC5_pr` has 231 (2.7%) missing values	Missing
`DC6_pr` has 231 (2.7%) missing values	Missing
`DC7_pr` has 231 (2.7%) missing values	Missing
`DK8_pr` has 231 (2.7%) missing values	Missing
`DK9_pr` has 231 (2.7%) missing values	Missing
`DK4_pr` has 231 (2.7%) missing values	Missing
`HE_Upro` has 612 (7.3%) missing values	Missing
`HE_THfh1` has 261 (3.1%) missing values	Missing
`HE_THfh2` has 261 (3.1%) missing values	Missing
`HE_THfh3` has 261 (3.1%) missing values	Missing
`HE_HBfh1` has 261 (3.1%) missing values	Missing
`HE_HBfh2` has 261 (3.1%) missing values	Missing
`HE_HBfh3` has 261 (3.1%) missing values	Missing
`HE_fh` has 261 (3.1%) missing values	Missing
`HE_HPfh1` has 261 (3.1%) missing values	Missing
`HE_HPfh2` has 261 (3.1%) missing values	Missing
`HE_HPfh3` has 261 (3.1%) missing values	Missing
`HE_HLfh1` has 261 (3.1%) missing values	Missing
`HE_HLfh2` has 261 (3.1%) missing values	Missing
`HE_HLfh3` has 261 (3.1%) missing values	Missing
`HE_IHDfh1` has 261 (3.1%) missing values	Missing
`HE_IHDfh2` has 261 (3.1%) missing values	Missing
`HE_IHDfh3` has 261 (3.1%) missing values	Missing
`HE_STRfh1` has 261 (3.1%) missing values	Missing
`HE_STRfh2` has 261 (3.1%) missing values	Missing
`HE_STRfh3` has 261 (3.1%) missing values	Missing
`HE_DMfh1` has 261 (3.1%) missing values	Missing
`HE_DMfh2` has 261 (3.1%) missing values	Missing
`HE_DMfh3` has 261 (3.1%) missing values	Missing
`HE_HP` has 280 (3.3%) missing values	Missing
`HE_obe` has 355 (4.2%) missing values	Missing
`HE_DM_HbA1c` has 1034 (12.3%) missing values	Missing
`HE_HCHOL` has 1032 (12.3%) missing values	Missing
`HE_HTG` has 1765 (21.0%) missing values	Missing
`HE_hepaB` has 698 (8.3%) missing values	Missing
`HE_hepaC` has 698 (8.3%) missing values	Missing
`HE_anem` has 719 (8.6%) missing values	Missing
`T_NQ_OCP` has 1125 (13.4%) missing values	Missing
`T_Q_VN` has 1125 (13.4%) missing values	Missing
`L_BR` has 965 (11.5%) missing values	Missing
`L_LN` has 965 (11.5%) missing values	Missing
`L_DN` has 965 (11.5%) missing values	Missing
`L_BR_FQ` has 959 (11.4%) missing values	Missing
`L_LN_FQ` has 959 (11.4%) missing values	Missing
`L_DN_FQ` has 959 (11.4%) missing values	Missing
`L_OUT_FQ` has 959 (11.4%) missing values	Missing
`LS_1YR` has 959 (11.4%) missing values	Missing
`ID` is uniformly distributed	Uniform
`ID` has unique values	Unique
`BE3_32` has 2858 (34.0%) zeros	Zeros
`HE_Upro` has 6561 (78.1%) zeros	Zeros

Reproduction

Analysis started	2022-04-28 03:57:13.070301
Analysis finished	2022-04-28 04:00:22.242765
Duration	3 minutes and 9.17 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

ID
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	8403
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

b'E756235701'	1
b'A612237401'	1
b'C751247602'	1
b'N653268001'	1
b'C752361501'	1
Other values (8398)	8398

Length

Max length	13
Median length	13
Mean length	13
Min length	13

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8403 ?
Unique (%)	100.0%

Sample

1st row	b'A651228902'
2nd row	b'A651417601'
3rd row	b'A652228901'
4th row	b'A653184701'
5th row	b'A653235705'

Common Values

Value	Count	Frequency (%)
b'E756235701'	1	< 0.1%
b'A612237401'	1	< 0.1%
b'C751247602'	1	< 0.1%
b'N653268001'	1	< 0.1%
b'C752361501'	1	< 0.1%
b'H809327501'	1	< 0.1%
b'N805361503'	1	< 0.1%
b'H804322401'	1	< 0.1%
b'N601186402'	1	< 0.1%
b'E652339402'	1	< 0.1%
Other values (8393)	8393	99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
b'c607342801	1	< 0.1%
b'a714023802	1	< 0.1%
b'b652247602	1	< 0.1%
b'm607368302	1	< 0.1%
b'a730029102	1	< 0.1%
b'o659194901	1	< 0.1%
b'n658366602	1	< 0.1%
b'a604415902	1	< 0.1%
b'n704027102	1	< 0.1%
b'b758273101	1	< 0.1%
Other values (8393)	8393	99.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

year
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

2019.0	1735
2020.0	1712
2017.0	1671
2018.0	1653
2016.0	1632

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2016.0
2nd row	2016.0
3rd row	2016.0
4th row	2016.0
5th row	2016.0

Common Values

Value	Count	Frequency (%)
2019.0	1735	20.6%
2020.0	1712	20.4%
2017.0	1671	19.9%
2018.0	1653	19.7%
2016.0	1632	19.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2019.0	1735	20.6%
2020.0	1712	20.4%
2017.0	1671	19.9%
2018.0	1653	19.7%
2016.0	1632	19.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

sex
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.8 KiB

2.0	4785
1.0	3618

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	1.0
3rd row	1.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
2.0	4785	56.9%
1.0	3618	43.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2.0	4785	56.9%
1.0	3618	43.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

age
Real number (ℝ_≥0)

Distinct	16
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	73.0092824

Minimum	65
Maximum	80
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	65.8 KiB

Quantile statistics

Minimum	65
5-th percentile	65
Q1	69
median	73
Q3	78
95-th percentile	80
Maximum	80
Range	15
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	5.108991518
Coefficient of variation (CV)	0.06997728714
Kurtosis	-1.35643342
Mean	73.0092824
Median Absolute Deviation (MAD)	5
Skewness	-0.004627055643
Sum	613497
Variance	26.10179433
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
80	1604	19.1%
65	588	7.0%
69	528	6.3%
66	525	6.2%
70	503	6.0%
67	491	5.8%
68	491	5.8%
71	473	5.6%
72	469	5.6%
73	451	5.4%
Other values (6)	2280	27.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
65	588	7.0%
66	525	6.2%
67	491	5.8%
68	491	5.8%
69	528	6.3%
70	503	6.0%
71	473	5.6%
72	469	5.6%
73	451	5.4%
74	406	4.8%

Value	Count	Frequency (%)
80	1604	19.1%
79	302	3.6%
78	352	4.2%
77	435	5.2%
76	378	4.5%
75	407	4.8%
74	406	4.8%
73	451	5.4%
72	469	5.6%
71	473	5.6%

HE_ht
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	472
Distinct (%)	5.9%
Missing	354
Missing (%)	4.2%
Infinite	0
Infinite (%)	0.0%
Mean	157.9394459

Minimum	128.4
Maximum	184.1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	65.8 KiB

Quantile statistics

Minimum	128.4
5-th percentile	144.3
Q1	151.2
median	157.3
Q3	164.8
95-th percentile	172.5
Maximum	184.1
Range	55.7
Interquartile range (IQR)	13.6

Descriptive statistics

Standard deviation	8.881939269
Coefficient of variation (CV)	0.0562363583
Kurtosis	-0.564560387
Mean	157.9394459
Median Absolute Deviation (MAD)	6.7
Skewness	0.09674715075
Sum	1271254.6
Variance	78.88884517
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
156	50	0.6%
154.2	49	0.6%
150.2	45	0.5%
155	42	0.5%
155.6	42	0.5%
154.6	41	0.5%
153.2	41	0.5%
155.8	41	0.5%
155.5	40	0.5%
153.3	40	0.5%
Other values (462)	7618	90.7%
(Missing)	354	4.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
128.4	1	< 0.1%
128.9	1	< 0.1%
130.1	1	< 0.1%
130.5	1	< 0.1%
130.7	1	< 0.1%
131.3	1	< 0.1%
131.4	1	< 0.1%
132.1	1	< 0.1%
132.4	1	< 0.1%
132.5	1	< 0.1%

Value	Count	Frequency (%)
184.1	1	< 0.1%
183.9	1	< 0.1%
183.6	1	< 0.1%
183.2	1	< 0.1%
182.8	1	< 0.1%
182.7	1	< 0.1%
182	1	< 0.1%
181.6	1	< 0.1%
181.5	1	< 0.1%
181.2	1	< 0.1%

HE_wt
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	566
Distinct (%)	6.9%
Missing	245
Missing (%)	2.9%
Infinite	0
Infinite (%)	0.0%
Mean	60.21453788

Minimum	31.3
Maximum	105.4
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	65.8 KiB

Quantile statistics

Minimum	31.3
5-th percentile	44.6
Q1	53.2
median	59.8
Q3	66.8
95-th percentile	77.4
Maximum	105.4
Range	74.1
Interquartile range (IQR)	13.6

Descriptive statistics

Standard deviation	10.10582619
Coefficient of variation (CV)	0.167830337
Kurtosis	0.1760581768
Mean	60.21453788
Median Absolute Deviation (MAD)	6.8
Skewness	0.3074201246
Sum	491230.2
Variance	102.1277229
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60	48	0.6%
54.3	42	0.5%
56.1	42	0.5%
62.1	42	0.5%
59.8	42	0.5%
61.6	41	0.5%
54.1	41	0.5%
57.5	41	0.5%
54.5	40	0.5%
55.5	40	0.5%
Other values (556)	7739	92.1%
(Missing)	245	2.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
31.3	1	< 0.1%
31.8	1	< 0.1%
32.2	1	< 0.1%
32.7	1	< 0.1%
32.9	1	< 0.1%
33.2	2	< 0.1%
33.5	2	< 0.1%
33.7	1	< 0.1%
34.1	2	< 0.1%
34.3	2	< 0.1%

Value	Count	Frequency (%)
105.4	1	< 0.1%
104.4	1	< 0.1%
102.8	1	< 0.1%
102.1	1	< 0.1%
99.3	1	< 0.1%
98.4	1	< 0.1%
98	1	< 0.1%
97.9	1	< 0.1%
96.2	1	< 0.1%
96	1	< 0.1%

HE_BMI
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	7659
Distinct (%)	95.2%
Missing	355
Missing (%)	4.2%
Infinite	0
Infinite (%)	0.0%
Mean	24.1143128

Minimum	11.44342217
Maximum	41.49384293
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	65.8 KiB

Quantile statistics

Minimum	11.44342217
5-th percentile	19.13618695
Q1	22.01094872
median	24.00092729
Q3	26.03068509
95-th percentile	29.5692718
Maximum	41.49384293
Range	30.05042075
Interquartile range (IQR)	4.019736373

Descriptive statistics

Standard deviation	3.194702821
Coefficient of variation (CV)	0.1324816033
Kurtosis	0.7950821933
Mean	24.1143128
Median Absolute Deviation (MAD)	2.011964867
Skewness	0.3805309392
Sum	194071.9894
Variance	10.20612612
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
23.54249064	4	< 0.1%
21.96202064	3	< 0.1%
26.72299284	3	< 0.1%
24.59240436	3	< 0.1%
28.03501065	3	< 0.1%
20.56553973	3	< 0.1%
24.37060564	3	< 0.1%
27.37411045	3	< 0.1%
21.14985181	3	< 0.1%
22.61403608	3	< 0.1%
Other values (7649)	8017	95.4%
(Missing)	355	4.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
11.44342217	1	< 0.1%
13.97750558	1	< 0.1%
14.16405819	1	< 0.1%
14.71071663	1	< 0.1%
14.764356	1	< 0.1%
14.79637649	1	< 0.1%
14.84423972	1	< 0.1%
15.03150703	1	< 0.1%
15.17578319	1	< 0.1%
15.3033255	1	< 0.1%

Value	Count	Frequency (%)
41.49384293	1	< 0.1%
39.7845349	1	< 0.1%
38.975011	1	< 0.1%
38.94415089	1	< 0.1%
38.06365974	1	< 0.1%
37.30486685	1	< 0.1%
37.0644313	1	< 0.1%
36.64779436	1	< 0.1%
36.59102027	1	< 0.1%
36.51256421	1	< 0.1%

M_2_yr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

2.0	6619
1.0	732
9.0	698
3.0	123

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	2.0
3rd row	2.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
2.0	6619	78.8%
1.0	732	8.7%
9.0	698	8.3%
3.0	123	1.5%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2.0	6619	81.0%
1.0	732	9.0%
9.0	698	8.5%
3.0	123	1.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

M_2_rs
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	10
Distinct (%)	0.1%
Missing	231
Missing (%)	2.7%
Infinite	0
Infinite (%)	0.0%
Mean	81.34569261

Minimum	1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	65.8 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	88
median	88
Q3	88
95-th percentile	99
Maximum	99
Range	98
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	24.72625904
Coefficient of variation (CV)	0.3039651916
Kurtosis	6.040472252
Mean	81.34569261
Median Absolute Deviation (MAD)	0
Skewness	-2.794667832
Sum	664757
Variance	611.3878862
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
88	6742	80.2%
99	699	8.3%
3	249	3.0%
2	174	2.1%
1	139	1.7%
4	64	0.8%
8	53	0.6%
7	42	0.5%
5	8	0.1%
6	2	< 0.1%
(Missing)	231	2.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	139	1.7%
2	174	2.1%
3	249	3.0%
4	64	0.8%
5	8	0.1%
6	2	< 0.1%
7	42	0.5%
8	53	0.6%
88	6742	80.2%
99	699	8.3%

Value	Count	Frequency (%)
99	699	8.3%
88	6742	80.2%
8	53	0.6%
7	42	0.5%
6	2	< 0.1%
5	8	0.1%
4	64	0.8%
3	249	3.0%
2	174	2.1%
1	139	1.7%

LQ_1EQL
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

1.0	4701
2.0	2629
9.0	715
3.0	127

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	1.0
3rd row	1.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
1.0	4701	55.9%
2.0	2629	31.3%
9.0	715	8.5%
3.0	127	1.5%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	4701	57.5%
2.0	2629	32.2%
9.0	715	8.7%
3.0	127	1.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

LQ_2EQL
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

1.0	6677
2.0	718
9.0	715
3.0	62

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	6677	79.5%
2.0	718	8.5%
9.0	715	8.5%
3.0	62	0.7%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	6677	81.7%
2.0	718	8.8%
9.0	715	8.7%
3.0	62	0.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

LQ_3EQL
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

1.0	6027
2.0	1322
9.0	716
3.0	107

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	2.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	6027	71.7%
2.0	1322	15.7%
9.0	716	8.5%
3.0	107	1.3%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	6027	73.8%
2.0	1322	16.2%
9.0	716	8.8%
3.0	107	1.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

LQ_4EQL
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

1.0	4757
2.0	2273
9.0	721
3.0	421

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	1.0
3rd row	1.0
4th row	3.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
1.0	4757	56.6%
2.0	2273	27.0%
9.0	721	8.6%
3.0	421	5.0%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	4757	58.2%
2.0	2273	27.8%
9.0	721	8.8%
3.0	421	5.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

LQ_5EQL
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

1.0	6366
2.0	980
9.0	723
3.0	103

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	2.0
3rd row	1.0
4th row	3.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	6366	75.8%
2.0	980	11.7%
9.0	723	8.6%
3.0	103	1.2%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	6366	77.9%
2.0	980	12.0%
9.0	723	8.8%
3.0	103	1.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BO1_1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

1.0	5911
2.0	1206
3.0	880
9.0	175

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3.0
2nd row	9.0
3rd row	1.0
4th row	3.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	5911	70.3%
2.0	1206	14.4%
3.0	880	10.5%
9.0	175	2.1%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	5911	72.3%
2.0	1206	14.8%
3.0	880	10.8%
9.0	175	2.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BO2_1
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

4.0	4066
1.0	2040
2.0	1345
3.0	568
9.0	153

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	9.0
3rd row	4.0
4th row	4.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
4.0	4066	48.4%
1.0	2040	24.3%
2.0	1345	16.0%
3.0	568	6.8%
9.0	153	1.8%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
4.0	4066	49.8%
1.0	2040	25.0%
2.0	1345	16.5%
3.0	568	7.0%
9.0	153	1.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BD1_11
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	8
Distinct (%)	0.1%
Missing	231
Missing (%)	2.7%
Infinite	0
Infinite (%)	0.0%
Mean	4.248286833

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	65.8 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	4
Q3	8
95-th percentile	8
Maximum	9
Range	8
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	2.784189369
Coefficient of variation (CV)	0.6553675583
Kurtosis	-1.458207198
Mean	4.248286833
Median Absolute Deviation (MAD)	3
Skewness	0.2669519743
Sum	34717
Variance	7.751710441
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
8	2084	24.8%
1	2017	24.0%
2	1191	14.2%
4	929	11.1%
5	672	8.0%
6	589	7.0%
3	529	6.3%
9	161	1.9%
(Missing)	231	2.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	2017	24.0%
2	1191	14.2%
3	529	6.3%
4	929	11.1%
5	672	8.0%
6	589	7.0%
8	2084	24.8%
9	161	1.9%

Value	Count	Frequency (%)
9	161	1.9%
8	2084	24.8%
6	589	7.0%
5	672	8.0%
4	929	11.1%
3	529	6.3%
2	1191	14.2%
1	2017	24.0%

BD2_1
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	7
Distinct (%)	0.1%
Missing	231
Missing (%)	2.7%
Infinite	0
Infinite (%)	0.0%
Mean	5.083700441

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	65.8 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	8
Q3	8
95-th percentile	8
Maximum	9
Range	8
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	3.190687344
Coefficient of variation (CV)	0.6276308728
Kurtosis	-1.808885774
Mean	5.083700441
Median Absolute Deviation (MAD)	0
Skewness	-0.233895706
Sum	41544
Variance	10.18048573
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
8	4101	48.8%
1	2093	24.9%
2	931	11.1%
4	378	4.5%
3	366	4.4%
9	164	2.0%
5	139	1.7%
(Missing)	231	2.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	2093	24.9%
2	931	11.1%
3	366	4.4%
4	378	4.5%
5	139	1.7%
8	4101	48.8%
9	164	2.0%

Value	Count	Frequency (%)
9	164	2.0%
8	4101	48.8%
5	139	1.7%
4	378	4.5%
3	366	4.4%
2	931	11.1%
1	2093	24.9%

BD2_31
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	7
Distinct (%)	0.1%
Missing	231
Missing (%)	2.7%
Infinite	0
Infinite (%)	0.0%
Mean	5.11123348

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	65.8 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	8
Q3	8
95-th percentile	8
Maximum	9
Range	8
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	3.194657469
Coefficient of variation (CV)	0.6250267145
Kurtosis	-1.767996375
Mean	5.11123348
Median Absolute Deviation (MAD)	0
Skewness	-0.2758776041
Sum	41769
Variance	10.20583634
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
8	4101	48.8%
1	2352	28.0%
2	479	5.7%
4	441	5.2%
3	386	4.6%
5	247	2.9%
9	166	2.0%
(Missing)	231	2.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	2352	28.0%
2	479	5.7%
3	386	4.6%
4	441	5.2%
5	247	2.9%
8	4101	48.8%
9	166	2.0%

Value	Count	Frequency (%)
9	166	2.0%
8	4101	48.8%
5	247	2.9%
4	441	5.2%
3	386	4.6%
2	479	5.7%
1	2352	28.0%

dr_month
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	392
Missing (%)	4.7%
Memory size	65.8 KiB

0.0	5292
1.0	2719

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5292	63.0%
1.0	2719	32.4%
(Missing)	392	4.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	5292	66.1%
1.0	2719	33.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BP16_1
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	82
Distinct (%)	1.0%
Missing	325
Missing (%)	3.9%
Infinite	0
Infinite (%)	0.0%
Mean	514.7717257

Minimum	1
Maximum	9999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	65.8 KiB

Quantile statistics

Minimum	1
5-th percentile	5
Q1	7
median	360
Q3	450
95-th percentile	600
Maximum	9999
Range	9998
Interquartile range (IQR)	443

Descriptive statistics

Standard deviation	1598.472875
Coefficient of variation (CV)	3.105207211
Kurtosis	30.63139332
Mean	514.7717257
Median Absolute Deviation (MAD)	180
Skewness	5.651130627
Sum	4158326
Variance	2555115.531
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
420	816	9.7%
480	766	9.1%
7	718	8.5%
6	626	7.4%
9	596	7.1%
360	538	6.4%
8	521	6.2%
5	494	5.9%
540	391	4.7%
450	369	4.4%
Other values (72)	2243	26.7%
(Missing)	325	3.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	3	< 0.1%
2	15	0.2%
3	79	0.9%
4	214	2.5%
5	494	5.9%
6	626	7.4%
7	718	8.5%
8	521	6.2%
9	596	7.1%
10	81	1.0%

Value	Count	Frequency (%)
9999	219	2.6%
840	1	< 0.1%
780	2	< 0.1%
720	9	0.1%
705	1	< 0.1%
700	1	< 0.1%
690	5	0.1%
670	1	< 0.1%
660	51	0.6%
630	29	0.3%

BP16_2
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	83
Distinct (%)	1.0%
Missing	324
Missing (%)	3.9%
Infinite	0
Infinite (%)	0.0%
Mean	524.283946

Minimum	1
Maximum	9999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	65.8 KiB

Quantile statistics

Minimum	1
5-th percentile	5
Q1	7
median	360
Q3	480
95-th percentile	600
Maximum	9999
Range	9998
Interquartile range (IQR)	473

Descriptive statistics

Standard deviation	1612.061172
Coefficient of variation (CV)	3.074786447
Kurtosis	29.96907585
Mean	524.283946
Median Absolute Deviation (MAD)	210
Skewness	5.59196182
Sum	4235690
Variance	2598741.221
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
480	825	9.8%
420	802	9.5%
7	720	8.6%
9	610	7.3%
6	600	7.1%
8	542	6.5%
360	499	5.9%
5	468	5.6%
540	439	5.2%
450	329	3.9%
Other values (73)	2245	26.7%
(Missing)	324	3.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	3	< 0.1%
2	15	0.2%
3	71	0.8%
4	207	2.5%
5	468	5.6%
6	600	7.1%
7	720	8.6%
8	542	6.5%
9	610	7.3%
10	103	1.2%

Value	Count	Frequency (%)
9999	223	2.7%
1140	1	< 0.1%
840	1	< 0.1%
780	5	0.1%
750	1	< 0.1%
720	17	0.2%
705	1	< 0.1%
700	1	< 0.1%
690	9	0.1%
670	1	< 0.1%

BP1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

3.0	4073
4.0	2419
2.0	1182
1.0	309
9.0	189

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3.0
2nd row	9.0
3rd row	3.0
4th row	1.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
3.0	4073	48.5%
4.0	2419	28.8%
2.0	1182	14.1%
1.0	309	3.7%
9.0	189	2.2%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
3.0	4073	49.8%
4.0	2419	29.6%
2.0	1182	14.5%
1.0	309	3.8%
9.0	189	2.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

mh_stress
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	420
Missing (%)	5.0%
Memory size	65.8 KiB

0.0	6492
1.0	1491

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6492	77.3%
1.0	1491	17.7%
(Missing)	420	5.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	6492	81.3%
1.0	1491	18.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BS1_1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

3.0	4996
2.0	2940
9.0	175
1.0	61

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3.0
2nd row	9.0
3rd row	2.0
4th row	3.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
3.0	4996	59.5%
2.0	2940	35.0%
9.0	175	2.1%
1.0	61	0.7%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
3.0	4996	61.1%
2.0	2940	36.0%
9.0	175	2.1%
1.0	61	0.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BS3_1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

8.0	4996
3.0	2256
1.0	671
9.0	177
2.0	72

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8.0
2nd row	9.0
3rd row	3.0
4th row	8.0
5th row	8.0

Common Values

Value	Count	Frequency (%)
8.0	4996	59.5%
3.0	2256	26.8%
1.0	671	8.0%
9.0	177	2.1%
2.0	72	0.9%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8.0	4996	61.1%
3.0	2256	27.6%
1.0	671	8.2%
9.0	177	2.2%
2.0	72	0.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BS3_2
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	25
Distinct (%)	0.3%
Missing	231
Missing (%)	2.7%
Infinite	0
Infinite (%)	0.0%
Mean	810.7442487

Minimum	1
Maximum	999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	65.8 KiB

Quantile statistics

Minimum	1
5-th percentile	10
Q1	888
median	888
Q3	888
95-th percentile	888
Maximum	999
Range	998
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	253.189052
Coefficient of variation (CV)	0.3122921346
Kurtosis	6.037310379
Mean	810.7442487
Median Absolute Deviation (MAD)	0
Skewness	-2.823799207
Sum	6625402
Variance	64104.69606
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
888	7252	86.3%
10	189	2.2%
999	177	2.1%
20	174	2.1%
5	61	0.7%
15	61	0.7%
7	56	0.7%
3	40	0.5%
6	29	0.3%
2	22	0.3%
Other values (15)	111	1.3%
(Missing)	231	2.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	14	0.2%
2	22	0.3%
3	40	0.5%
4	20	0.2%
5	61	0.7%
6	29	0.3%
7	56	0.7%
8	5	0.1%
9	4	< 0.1%
10	189	2.2%

Value	Count	Frequency (%)
999	177	2.1%
888	7252	86.3%
40	2	< 0.1%
30	16	0.2%
26	1	< 0.1%
25	5	0.1%
20	174	2.1%
18	2	< 0.1%
17	6	0.1%
16	3	< 0.1%

BS3_3
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	19
Distinct (%)	0.2%
Missing	231
Missing (%)	2.7%
Infinite	0
Infinite (%)	0.0%
Mean	87.55910426

Minimum	1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	65.8 KiB

Quantile statistics

Minimum	1
5-th percentile	88
Q1	88
median	88
Q3	88
95-th percentile	88
Maximum	99
Range	98
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	7.434307845
Coefficient of variation (CV)	0.08490616605
Kurtosis	102.1420135
Mean	87.55910426
Median Absolute Deviation (MAD)	0
Skewness	-9.844473898
Sum	715533
Variance	55.26893313
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
88	7923	94.3%
99	177	2.1%
20	17	0.2%
10	11	0.1%
5	10	0.1%
7	7	0.1%
2	6	0.1%
4	3	< 0.1%
3	3	< 0.1%
6	3	< 0.1%
Other values (9)	12	0.1%
(Missing)	231	2.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	2	< 0.1%
2	6	0.1%
3	3	< 0.1%
4	3	< 0.1%
5	10	0.1%
6	3	< 0.1%
7	7	0.1%
9	1	< 0.1%
10	11	0.1%
12	2	< 0.1%

Value	Count	Frequency (%)
99	177	2.1%
88	7923	94.3%
30	1	< 0.1%
25	2	< 0.1%
24	1	< 0.1%
20	17	0.2%
18	1	< 0.1%
15	1	< 0.1%
14	1	< 0.1%
12	2	< 0.1%

BS12_47
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

8.0	7899
9.0	176
2.0	55
3.0	26
1.0	16

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8.0
2nd row	9.0
3rd row	8.0
4th row	8.0
5th row	8.0

Common Values

Value	Count	Frequency (%)
8.0	7899	94.0%
9.0	176	2.1%
2.0	55	0.7%
3.0	26	0.3%
1.0	16	0.2%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8.0	7899	96.7%
9.0	176	2.2%
2.0	55	0.7%
3.0	26	0.3%
1.0	16	0.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BS8_2
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

8.0	5282
2.0	2496
1.0	216
9.0	178

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8.0
2nd row	9.0
3rd row	2.0
4th row	8.0
5th row	8.0

Common Values

Value	Count	Frequency (%)
8.0	5282	62.9%
2.0	2496	29.7%
1.0	216	2.6%
9.0	178	2.1%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8.0	5282	64.6%
2.0	2496	30.5%
1.0	216	2.6%
9.0	178	2.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BS9_2
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

3.0	6954
2.0	823
1.0	221
9.0	174

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3.0
2nd row	9.0
3rd row	3.0
4th row	3.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
3.0	6954	82.8%
2.0	823	9.8%
1.0	221	2.6%
9.0	174	2.1%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
3.0	6954	85.1%
2.0	823	10.1%
1.0	221	2.7%
9.0	174	2.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BS13
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

2.0	7347
1.0	642
9.0	183

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	9.0
3rd row	1.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
2.0	7347	87.4%
1.0	642	7.6%
9.0	183	2.2%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2.0	7347	89.9%
1.0	642	7.9%
9.0	183	2.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

sm_presnt
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	408
Missing (%)	4.9%
Memory size	65.8 KiB

0.0	7254
1.0	741

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	7254	86.3%
1.0	741	8.8%
(Missing)	408	4.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	7254	90.7%
1.0	741	9.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BE3_71
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

2.0	7401
9.0	725
1.0	46

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	2.0
3rd row	2.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
2.0	7401	88.1%
9.0	725	8.6%
1.0	46	0.5%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2.0	7401	90.6%
9.0	725	8.9%
1.0	46	0.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BE3_72
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	0.1%
Missing	231
Missing (%)	2.7%
Infinite	0
Infinite (%)	0.0%
Mean	8.065834557

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	65.8 KiB

Quantile statistics

Minimum	1
5-th percentile	8
Q1	8
median	8
Q3	8
95-th percentile	9
Maximum	9
Range	8
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.4548627657
Coefficient of variation (CV)	0.05639376341
Kurtosis	107.212905
Mean	8.065834557
Median Absolute Deviation (MAD)	0
Skewness	-7.1751687
Sum	65914
Variance	0.2069001356
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
8	7401	88.1%
9	725	8.6%
7	13	0.2%
3	12	0.1%
1	9	0.1%
2	5	0.1%
5	3	< 0.1%
6	2	< 0.1%
4	2	< 0.1%
(Missing)	231	2.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	9	0.1%
2	5	0.1%
3	12	0.1%
4	2	< 0.1%
5	3	< 0.1%
6	2	< 0.1%
7	13	0.2%
8	7401	88.1%
9	725	8.6%

Value	Count	Frequency (%)
9	725	8.6%
8	7401	88.1%
7	13	0.2%
6	2	< 0.1%
5	3	< 0.1%
4	2	< 0.1%
3	12	0.1%
2	5	0.1%
1	9	0.1%

BE3_81
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

2.0	7206
9.0	725
1.0	241

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	2.0
3rd row	2.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
2.0	7206	85.8%
9.0	725	8.6%
1.0	241	2.9%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2.0	7206	88.2%
9.0	725	8.9%
1.0	241	2.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BE3_82
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	0.1%
Missing	231
Missing (%)	2.7%
Infinite	0
Infinite (%)	0.0%
Mean	7.952031326

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	65.8 KiB

Quantile statistics

Minimum	1
5-th percentile	8
Q1	8
median	8
Q3	8
95-th percentile	9
Maximum	9
Range	8
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.9202169321
Coefficient of variation (CV)	0.1157209893
Kurtosis	34.1322839
Mean	7.952031326
Median Absolute Deviation (MAD)	0
Skewness	-5.478409892
Sum	64984
Variance	0.8467992021
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
8	7206	85.8%
9	729	8.7%
3	63	0.7%
1	48	0.6%
2	47	0.6%
7	35	0.4%
4	27	0.3%
5	11	0.1%
6	6	0.1%
(Missing)	231	2.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	48	0.6%
2	47	0.6%
3	63	0.7%
4	27	0.3%
5	11	0.1%
6	6	0.1%
7	35	0.4%
8	7206	85.8%
9	729	8.7%

Value	Count	Frequency (%)
9	729	8.7%
8	7206	85.8%
7	35	0.4%
6	6	0.1%
5	11	0.1%
4	27	0.3%
3	63	0.7%
2	47	0.6%
1	48	0.6%

BE3_75
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

2.0	7303
9.0	731
1.0	138

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	2.0
3rd row	2.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
2.0	7303	86.9%
9.0	731	8.7%
1.0	138	1.6%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2.0	7303	89.4%
9.0	731	8.9%
1.0	138	1.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BE3_76
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	0.1%
Missing	231
Missing (%)	2.7%
Infinite	0
Infinite (%)	0.0%
Mean	8.024106706

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	65.8 KiB

Quantile statistics

Minimum	1
5-th percentile	8
Q1	8
median	8
Q3	8
95-th percentile	9
Maximum	9
Range	8
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.632053974
Coefficient of variation (CV)	0.07876938794
Kurtosis	56.23157297
Mean	8.024106706
Median Absolute Deviation (MAD)	0
Skewness	-6.252641638
Sum	65573
Variance	0.399492226
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
8	7303	86.9%
9	731	8.7%
5	27	0.3%
3	26	0.3%
7	23	0.3%
4	21	0.2%
2	21	0.2%
6	10	0.1%
1	10	0.1%
(Missing)	231	2.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	10	0.1%
2	21	0.2%
3	26	0.3%
4	21	0.2%
5	27	0.3%
6	10	0.1%
7	23	0.3%
8	7303	86.9%
9	731	8.7%

Value	Count	Frequency (%)
9	731	8.7%
8	7303	86.9%
7	23	0.3%
6	10	0.1%
5	27	0.3%
4	21	0.2%
3	26	0.3%
2	21	0.2%
1	10	0.1%

BE3_85
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

2.0	6468
1.0	974
9.0	730

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	2.0
3rd row	2.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
2.0	6468	77.0%
1.0	974	11.6%
9.0	730	8.7%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2.0	6468	79.1%
1.0	974	11.9%
9.0	730	8.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BE3_86
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	0.1%
Missing	231
Missing (%)	2.7%
Infinite	0
Infinite (%)	0.0%
Mean	7.626896721

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	65.8 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	8
median	8
Q3	8
95-th percentile	9
Maximum	9
Range	8
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.47185932
Coefficient of variation (CV)	0.192982726
Kurtosis	7.864781518
Mean	7.626896721
Median Absolute Deviation (MAD)	0
Skewness	-2.888603285
Sum	62327
Variance	2.166369857
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
8	6468	77.0%
9	731	8.7%
3	203	2.4%
5	198	2.4%
7	168	2.0%
2	154	1.8%
4	112	1.3%
1	71	0.8%
6	67	0.8%
(Missing)	231	2.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	71	0.8%
2	154	1.8%
3	203	2.4%
4	112	1.3%
5	198	2.4%
6	67	0.8%
7	168	2.0%
8	6468	77.0%
9	731	8.7%

Value	Count	Frequency (%)
9	731	8.7%
8	6468	77.0%
7	168	2.0%
6	67	0.8%
5	198	2.4%
4	112	1.3%
3	203	2.4%
2	154	1.8%
1	71	0.8%

BE3_91
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

2.0	3766
1.0	3678
9.0	728

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	2.0
3rd row	1.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
2.0	3766	44.8%
1.0	3678	43.8%
9.0	728	8.7%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2.0	3766	46.1%
1.0	3678	45.0%
9.0	728	8.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

BE8_1
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	24
Distinct (%)	0.3%
Missing	231
Missing (%)	2.7%
Infinite	0
Infinite (%)	0.0%
Mean	20.08272149

Minimum	0
Maximum	99
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	65.8 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	6
median	9
Q3	13
95-th percentile	99
Maximum	99
Range	99
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	30.4253614
Coefficient of variation (CV)	1.51500191
Kurtosis	2.821562725
Mean	20.08272149
Median Absolute Deviation (MAD)	3
Skewness	2.16953489
Sum	164116
Variance	925.7026166
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
99	1045	12.4%
10	971	11.6%
8	769	9.2%
5	716	8.5%
6	666	7.9%
12	566	6.7%
7	520	6.2%
4	497	5.9%
9	430	5.1%
3	346	4.1%
Other values (14)	1646	19.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	50	0.6%
2	194	2.3%
3	346	4.1%
4	497	5.9%
5	716	8.5%
6	666	7.9%
7	520	6.2%
8	769	9.2%
9	430	5.1%

Value	Count	Frequency (%)
99	1045	12.4%
22	1	< 0.1%
21	2	< 0.1%
20	11	0.1%
19	6	0.1%
18	53	0.6%
17	66	0.8%
16	107	1.3%
15	262	3.1%
14	288	3.4%

BE3_31
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	0.1%
Missing	231
Missing (%)	2.7%
Infinite	0
Infinite (%)	0.0%
Mean	13.58174254

Minimum	1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	65.8 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	5
Q3	8
95-th percentile	99
Maximum	99
Range	98
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	27.87662382
Coefficient of variation (CV)	2.052507161
Kurtosis	5.436017037
Mean	13.58174254
Median Absolute Deviation (MAD)	3
Skewness	2.707508521
Sum	110990
Variance	777.1061554
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
8	2191	26.1%
1	1953	23.2%
4	860	10.2%
99	780	9.3%
6	653	7.8%
3	585	7.0%
5	467	5.6%
2	388	4.6%
7	295	3.5%
(Missing)	231	2.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1953	23.2%
2	388	4.6%
3	585	7.0%
4	860	10.2%
5	467	5.6%
6	653	7.8%
7	295	3.5%
8	2191	26.1%
99	780	9.3%

Value	Count	Frequency (%)
99	780	9.3%
8	2191	26.1%
7	295	3.5%
6	653	7.8%
5	467	5.6%
4	860	10.2%
3	585	7.0%
2	388	4.6%
1	1953	23.2%

BE3_32
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	12
Distinct (%)	0.1%
Missing	231
Missing (%)	2.7%
Infinite	0
Infinite (%)	0.0%
Mean	31.04185022

Minimum	0
Maximum	99
Zeros	2858
Zeros (%)	34.0%
Negative	0
Negative (%)	0.0%
Memory size	65.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	88
95-th percentile	99
Maximum	99
Range	99
Interquartile range (IQR)	88

Descriptive statistics

Standard deviation	42.78004939
Coefficient of variation (CV)	1.378141093
Kurtosis	-1.468617036
Mean	31.04185022
Median Absolute Deviation (MAD)	1
Skewness	0.7123627002
Sum	253674
Variance	1830.132626
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
0	2858	34.0%
88	1953	23.2%
1	1721	20.5%
99	785	9.3%
2	577	6.9%
3	163	1.9%
9	44	0.5%
4	38	0.5%
5	21	0.2%
6	8	0.1%
Other values (2)	4	< 0.1%
(Missing)	231	2.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2858	34.0%
1	1721	20.5%
2	577	6.9%
3	163	1.9%
4	38	0.5%
5	21	0.2%
6	8	0.1%
7	2	< 0.1%
8	2	< 0.1%
9	44	0.5%

Value	Count	Frequency (%)
99	785	9.3%
88	1953	23.2%
9	44	0.5%
8	2	< 0.1%
7	2	< 0.1%
6	8	0.1%
5	21	0.2%
4	38	0.5%
3	163	1.9%
2	577	6.9%

BE5_1
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	7
Distinct (%)	0.1%
Missing	231
Missing (%)	2.7%
Infinite	0
Infinite (%)	0.0%
Mean	2.404919236

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	65.8 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	3
95-th percentile	9
Maximum	9
Range	8
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.615841946
Coefficient of variation (CV)	1.087704695
Kurtosis	1.123674669
Mean	2.404919236
Median Absolute Deviation (MAD)	0
Skewness	1.62103564
Sum	19653
Variance	6.842629084
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
1	6030	71.8%
6	762	9.1%
9	750	8.9%
4	247	2.9%
3	175	2.1%
5	124	1.5%
2	84	1.0%
(Missing)	231	2.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	6030	71.8%
2	84	1.0%
3	175	2.1%
4	247	2.9%
5	124	1.5%
6	762	9.1%
9	750	8.9%

Value	Count	Frequency (%)
9	750	8.9%
6	762	9.1%
5	124	1.5%
4	247	2.9%
3	175	2.1%
2	84	1.0%
1	6030	71.8%

pa_aerobic
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	1012
Missing (%)	12.0%
Memory size	65.8 KiB

0.0	5072
1.0	2319

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5072	60.4%
1.0	2319	27.6%
(Missing)	1012	12.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	5072	68.6%
1.0	2319	31.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DI1_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

1.0	4401
8.0	3601
0.0	166
9.0	4

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	8.0
4th row	8.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	4401	52.4%
8.0	3601	42.9%
0.0	166	2.0%
9.0	4	< 0.1%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	4401	53.9%
8.0	3601	44.1%
0.0	166	2.0%
9.0	4	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DI2_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

8.0	5328
1.0	2446
0.0	392
9.0	6

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	8.0
4th row	1.0
5th row	8.0

Common Values

Value	Count	Frequency (%)
8.0	5328	63.4%
1.0	2446	29.1%
0.0	392	4.7%
9.0	6	0.1%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8.0	5328	65.2%
1.0	2446	29.9%
0.0	392	4.8%
9.0	6	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DI3_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

8.0	7034
9.0	666
1.0	380
0.0	92

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8.0
2nd row	8.0
3rd row	8.0
4th row	8.0
5th row	8.0

Common Values

Value	Count	Frequency (%)
8.0	7034	83.7%
9.0	666	7.9%
1.0	380	4.5%
0.0	92	1.1%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8.0	7034	86.1%
9.0	666	8.1%
1.0	380	4.7%
0.0	92	1.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DI4_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	906
Missing (%)	10.8%
Memory size	65.8 KiB

8.0	6848
1.0	579
0.0	70

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8.0
2nd row	8.0
3rd row	8.0
4th row	8.0
5th row	8.0

Common Values

Value	Count	Frequency (%)
8.0	6848	81.5%
1.0	579	6.9%
0.0	70	0.8%
(Missing)	906	10.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8.0	6848	91.3%
1.0	579	7.7%
0.0	70	0.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DI5_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

8.0	7249
9.0	673
1.0	231
0.0	19

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8.0
2nd row	8.0
3rd row	8.0
4th row	8.0
5th row	8.0

Common Values

Value	Count	Frequency (%)
8.0	7249	86.3%
9.0	673	8.0%
1.0	231	2.7%
0.0	19	0.2%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8.0	7249	88.7%
9.0	673	8.2%
1.0	231	2.8%
0.0	19	0.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DM2_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

8.0	5215
1.0	2069
9.0	677
0.0	211

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	8.0
3rd row	8.0
4th row	8.0
5th row	8.0

Common Values

Value	Count	Frequency (%)
8.0	5215	62.1%
1.0	2069	24.6%
9.0	677	8.1%
0.0	211	2.5%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8.0	5215	63.8%
1.0	2069	25.3%
9.0	677	8.3%
0.0	211	2.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DM3_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

8.0	7186
9.0	677
1.0	250
0.0	59

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8.0
2nd row	8.0
3rd row	8.0
4th row	8.0
5th row	8.0

Common Values

Value	Count	Frequency (%)
8.0	7186	85.5%
9.0	677	8.1%
1.0	250	3.0%
0.0	59	0.7%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8.0	7186	87.9%
9.0	677	8.3%
1.0	250	3.1%
0.0	59	0.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DM4_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

8.0	5701
1.0	1489
9.0	680
0.0	302

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8.0
2nd row	8.0
3rd row	8.0
4th row	1.0
5th row	8.0

Common Values

Value	Count	Frequency (%)
8.0	5701	67.8%
1.0	1489	17.7%
9.0	680	8.1%
0.0	302	3.6%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8.0	5701	69.8%
1.0	1489	18.2%
9.0	680	8.3%
0.0	302	3.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DJ2_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

8.0	7004
9.0	680
0.0	473
1.0	15

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8.0
2nd row	8.0
3rd row	8.0
4th row	8.0
5th row	8.0

Common Values

Value	Count	Frequency (%)
8.0	7004	83.4%
9.0	680	8.1%
0.0	473	5.6%
1.0	15	0.2%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8.0	7004	85.7%
9.0	680	8.3%
0.0	473	5.8%
1.0	15	0.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DJ4_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

8.0	7134
9.0	680
1.0	277
0.0	81

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8.0
2nd row	1.0
3rd row	8.0
4th row	8.0
5th row	8.0

Common Values

Value	Count	Frequency (%)
8.0	7134	84.9%
9.0	680	8.1%
1.0	277	3.3%
0.0	81	1.0%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8.0	7134	87.3%
9.0	680	8.3%
1.0	277	3.4%
0.0	81	1.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DJ6_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

8.0	7118
9.0	684
0.0	223
1.0	147

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	8.0
3rd row	8.0
4th row	8.0
5th row	8.0

Common Values

Value	Count	Frequency (%)
8.0	7118	84.7%
9.0	684	8.1%
0.0	223	2.7%
1.0	147	1.7%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8.0	7118	87.1%
9.0	684	8.4%
0.0	223	2.7%
1.0	147	1.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DJ8_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

8.0	7001
9.0	684
1.0	402
0.0	85

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8.0
2nd row	1.0
3rd row	8.0
4th row	8.0
5th row	8.0

Common Values

Value	Count	Frequency (%)
8.0	7001	83.3%
9.0	684	8.1%
1.0	402	4.8%
0.0	85	1.0%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8.0	7001	85.7%
9.0	684	8.4%
1.0	402	4.9%
0.0	85	1.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DI6_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

8.0	7044
9.0	675
1.0	394
0.0	59

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8.0
2nd row	8.0
3rd row	8.0
4th row	8.0
5th row	8.0

Common Values

Value	Count	Frequency (%)
8.0	7044	83.8%
9.0	675	8.0%
1.0	394	4.7%
0.0	59	0.7%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8.0	7044	86.2%
9.0	675	8.3%
1.0	394	4.8%
0.0	59	0.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DF2_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

8.0	6983
9.0	684
1.0	330
0.0	175

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8.0
2nd row	8.0
3rd row	8.0
4th row	1.0
5th row	8.0

Common Values

Value	Count	Frequency (%)
8.0	6983	83.1%
9.0	684	8.1%
1.0	330	3.9%
0.0	175	2.1%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8.0	6983	85.5%
9.0	684	8.4%
1.0	330	4.0%
0.0	175	2.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DL1_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

8.0	7393
9.0	684
1.0	75
0.0	20

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8.0
2nd row	8.0
3rd row	8.0
4th row	8.0
5th row	8.0

Common Values

Value	Count	Frequency (%)
8.0	7393	88.0%
9.0	684	8.1%
1.0	75	0.9%
0.0	20	0.2%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8.0	7393	90.5%
9.0	684	8.4%
1.0	75	0.9%
0.0	20	0.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DE1_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

8.0	6333
1.0	1781
0.0	50
9.0	8

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8.0
2nd row	8.0
3rd row	8.0
4th row	8.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
8.0	6333	75.4%
1.0	1781	21.2%
0.0	50	0.6%
9.0	8	0.1%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8.0	6333	77.5%
1.0	1781	21.8%
0.0	50	0.6%
9.0	8	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DE2_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

8.0	7170
9.0	683
1.0	202
0.0	117

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8.0
2nd row	8.0
3rd row	8.0
4th row	8.0
5th row	8.0

Common Values

Value	Count	Frequency (%)
8.0	7170	85.3%
9.0	683	8.1%
1.0	202	2.4%
0.0	117	1.4%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8.0	7170	87.7%
9.0	683	8.4%
1.0	202	2.5%
0.0	117	1.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DH4_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

8.0	7174
9.0	685
0.0	223
1.0	90

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8.0
2nd row	8.0
3rd row	8.0
4th row	8.0
5th row	8.0

Common Values

Value	Count	Frequency (%)
8.0	7174	85.4%
9.0	685	8.2%
0.0	223	2.7%
1.0	90	1.1%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8.0	7174	87.8%
9.0	685	8.4%
0.0	223	2.7%
1.0	90	1.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DC1_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

8.0	7341
9.0	683
0.0	109
1.0	39

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8.0
2nd row	8.0
3rd row	8.0
4th row	8.0
5th row	8.0

Common Values

Value	Count	Frequency (%)
8.0	7341	87.4%
9.0	683	8.1%
0.0	109	1.3%
1.0	39	0.5%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8.0	7341	89.8%
9.0	683	8.4%
0.0	109	1.3%
1.0	39	0.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DC2_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

8.0	7470
9.0	683
1.0	13
0.0	6

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8.0
2nd row	8.0
3rd row	8.0
4th row	8.0
5th row	8.0

Common Values

Value	Count	Frequency (%)
8.0	7470	88.9%
9.0	683	8.1%
1.0	13	0.2%
0.0	6	0.1%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8.0	7470	91.4%
9.0	683	8.4%
1.0	13	0.2%
0.0	6	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DC3_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

8.0	7367
9.0	683
0.0	90
1.0	32

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8.0
2nd row	8.0
3rd row	8.0
4th row	8.0
5th row	8.0

Common Values

Value	Count	Frequency (%)
8.0	7367	87.7%
9.0	683	8.1%
0.0	90	1.1%
1.0	32	0.4%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8.0	7367	90.1%
9.0	683	8.4%
0.0	90	1.1%
1.0	32	0.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DC4_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

8.0	7406
9.0	683
0.0	49
1.0	34

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8.0
2nd row	8.0
3rd row	8.0
4th row	8.0
5th row	8.0

Common Values

Value	Count	Frequency (%)
8.0	7406	88.1%
9.0	683	8.1%
0.0	49	0.6%
1.0	34	0.4%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8.0	7406	90.6%
9.0	683	8.4%
0.0	49	0.6%
1.0	34	0.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DC5_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

8.0	7425
9.0	683
0.0	61
1.0	3

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8.0
2nd row	8.0
3rd row	8.0
4th row	8.0
5th row	8.0

Common Values

Value	Count	Frequency (%)
8.0	7425	88.4%
9.0	683	8.1%
0.0	61	0.7%
1.0	3	< 0.1%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8.0	7425	90.9%
9.0	683	8.4%
0.0	61	0.7%
1.0	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DC6_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

8.0	7439
9.0	683
1.0	30
0.0	20

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8.0
2nd row	8.0
3rd row	8.0
4th row	8.0
5th row	8.0

Common Values

Value	Count	Frequency (%)
8.0	7439	88.5%
9.0	683	8.1%
1.0	30	0.4%
0.0	20	0.2%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8.0	7439	91.0%
9.0	683	8.4%
1.0	30	0.4%
0.0	20	0.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DC7_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

8.0	7396
9.0	683
0.0	50
1.0	43

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8.0
2nd row	8.0
3rd row	8.0
4th row	8.0
5th row	8.0

Common Values

Value	Count	Frequency (%)
8.0	7396	88.0%
9.0	683	8.1%
0.0	50	0.6%
1.0	43	0.5%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8.0	7396	90.5%
9.0	683	8.4%
0.0	50	0.6%
1.0	43	0.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DK8_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

8.0	7373
9.0	688
0.0	59
1.0	52

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	8.0
3rd row	8.0
4th row	8.0
5th row	8.0

Common Values

Value	Count	Frequency (%)
8.0	7373	87.7%
9.0	688	8.2%
0.0	59	0.7%
1.0	52	0.6%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8.0	7373	90.2%
9.0	688	8.4%
0.0	59	0.7%
1.0	52	0.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DK9_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

8.0	7456
9.0	688
0.0	18
1.0	10

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8.0
2nd row	8.0
3rd row	8.0
4th row	8.0
5th row	8.0

Common Values

Value	Count	Frequency (%)
8.0	7456	88.7%
9.0	688	8.2%
0.0	18	0.2%
1.0	10	0.1%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8.0	7456	91.2%
9.0	688	8.4%
0.0	18	0.2%
1.0	10	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

DK4_pr
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	231
Missing (%)	2.7%
Memory size	65.8 KiB

8.0	7437
9.0	688
1.0	36
0.0	11

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	8.0
2nd row	8.0
3rd row	8.0
4th row	8.0
5th row	8.0

Common Values

Value	Count	Frequency (%)
8.0	7437	88.5%
9.0	688	8.2%
1.0	36	0.4%
0.0	11	0.1%
(Missing)	231	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
8.0	7437	91.0%
9.0	688	8.4%
1.0	36	0.4%
0.0	11	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_Upro
Real number (ℝ_≥0)

MISSING
ZEROS

Distinct	6
Distinct (%)	0.1%
Missing	612
Missing (%)	7.3%
Infinite	0
Infinite (%)	0.0%
Mean	0.2255166217

Minimum	0
Maximum	5
Zeros	6561
Zeros (%)	78.1%
Negative	0
Negative (%)	0.0%
Memory size	65.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	5
Range	5
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.5944509441
Coefficient of variation (CV)	2.635951796
Kurtosis	11.5778042
Mean	0.2255166217
Median Absolute Deviation (MAD)	0
Skewness	3.178098826
Sum	1757
Variance	0.353371925
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	6561	78.1%
1	842	10.0%
2	275	3.3%
3	91	1.1%
4	18	0.2%
5	4	< 0.1%
(Missing)	612	7.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	6561	78.1%
1	842	10.0%
2	275	3.3%
3	91	1.1%
4	18	0.2%
5	4	< 0.1%

Value	Count	Frequency (%)
5	4	< 0.1%
4	18	0.2%
3	91	1.1%
2	275	3.3%
1	842	10.0%
0	6561	78.1%

HE_THfh1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	261
Missing (%)	3.1%
Memory size	65.8 KiB

0.0	6490
9.0	1650
1.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6490	77.2%
9.0	1650	19.6%
1.0	2	< 0.1%
(Missing)	261	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	6490	79.7%
9.0	1650	20.3%
1.0	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_THfh2
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	261
Missing (%)	3.1%
Memory size	65.8 KiB

0.0	6719
9.0	1387
1.0	36

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6719	80.0%
9.0	1387	16.5%
1.0	36	0.4%
(Missing)	261	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	6719	82.5%
9.0	1387	17.0%
1.0	36	0.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_THfh3
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	261
Missing (%)	3.1%
Memory size	65.8 KiB

0.0	6848
9.0	1031
8.0	162
1.0	101

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6848	81.5%
9.0	1031	12.3%
8.0	162	1.9%
1.0	101	1.2%
(Missing)	261	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	6848	84.1%
9.0	1031	12.7%
8.0	162	2.0%
1.0	101	1.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_HBfh1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	261
Missing (%)	3.1%
Memory size	65.8 KiB

0.0	6485
9.0	1651
1.0	6

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6485	77.2%
9.0	1651	19.6%
1.0	6	0.1%
(Missing)	261	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	6485	79.6%
9.0	1651	20.3%
1.0	6	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_HBfh2
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	261
Missing (%)	3.1%
Memory size	65.8 KiB

0.0	6742
9.0	1389
1.0	11

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6742	80.2%
9.0	1389	16.5%
1.0	11	0.1%
(Missing)	261	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	6742	82.8%
9.0	1389	17.1%
1.0	11	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_HBfh3
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	261
Missing (%)	3.1%
Memory size	65.8 KiB

0.0	6916
9.0	1034
8.0	162
1.0	30

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6916	82.3%
9.0	1034	12.3%
8.0	162	1.9%
1.0	30	0.4%
(Missing)	261	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	6916	84.9%
9.0	1034	12.7%
8.0	162	2.0%
1.0	30	0.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_fh
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	261
Missing (%)	3.1%
Memory size	65.8 KiB

0.0	3752
1.0	3718
9.0	672

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	3752	44.7%
1.0	3718	44.2%
9.0	672	8.0%
(Missing)	261	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	3752	46.1%
1.0	3718	45.7%
9.0	672	8.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_HPfh1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	261
Missing (%)	3.1%
Memory size	65.8 KiB

0.0	5885
9.0	1631
1.0	626

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5885	70.0%
9.0	1631	19.4%
1.0	626	7.4%
(Missing)	261	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	5885	72.3%
9.0	1631	20.0%
1.0	626	7.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_HPfh2
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	261
Missing (%)	3.1%
Memory size	65.8 KiB

0.0	5772
9.0	1358
1.0	1012

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5772	68.7%
9.0	1358	16.2%
1.0	1012	12.0%
(Missing)	261	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	5772	70.9%
9.0	1358	16.7%
1.0	1012	12.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_HPfh3
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	261
Missing (%)	3.1%
Memory size	65.8 KiB

0.0	5523
1.0	1480
9.0	976
8.0	163

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5523	65.7%
1.0	1480	17.6%
9.0	976	11.6%
8.0	163	1.9%
(Missing)	261	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	5523	67.8%
1.0	1480	18.2%
9.0	976	12.0%
8.0	163	2.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_HLfh1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	261
Missing (%)	3.1%
Memory size	65.8 KiB

0.0	6455
9.0	1666
1.0	21

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6455	76.8%
9.0	1666	19.8%
1.0	21	0.2%
(Missing)	261	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	6455	79.3%
9.0	1666	20.5%
1.0	21	0.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_HLfh2
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	261
Missing (%)	3.1%
Memory size	65.8 KiB

0.0	6700
9.0	1401
1.0	41

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6700	79.7%
9.0	1401	16.7%
1.0	41	0.5%
(Missing)	261	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	6700	82.3%
9.0	1401	17.2%
1.0	41	0.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_HLfh3
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	261
Missing (%)	3.1%
Memory size	65.8 KiB

0.0	6811
9.0	1043
8.0	163
1.0	125

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6811	81.1%
9.0	1043	12.4%
8.0	163	1.9%
1.0	125	1.5%
(Missing)	261	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	6811	83.7%
9.0	1043	12.8%
8.0	163	2.0%
1.0	125	1.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_IHDfh1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	261
Missing (%)	3.1%
Memory size	65.8 KiB

0.0	6416
9.0	1654
1.0	72

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6416	76.4%
9.0	1654	19.7%
1.0	72	0.9%
(Missing)	261	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	6416	78.8%
9.0	1654	20.3%
1.0	72	0.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_IHDfh2
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	261
Missing (%)	3.1%
Memory size	65.8 KiB

0.0	6638
9.0	1394
1.0	110

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6638	79.0%
9.0	1394	16.6%
1.0	110	1.3%
(Missing)	261	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	6638	81.5%
9.0	1394	17.1%
1.0	110	1.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_IHDfh3
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	261
Missing (%)	3.1%
Memory size	65.8 KiB

0.0	6798
9.0	1031
8.0	163
1.0	150

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6798	80.9%
9.0	1031	12.3%
8.0	163	1.9%
1.0	150	1.8%
(Missing)	261	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	6798	83.5%
9.0	1031	12.7%
8.0	163	2.0%
1.0	150	1.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_STRfh1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	261
Missing (%)	3.1%
Memory size	65.8 KiB

0.0	6015
9.0	1592
1.0	535

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6015	71.6%
9.0	1592	18.9%
1.0	535	6.4%
(Missing)	261	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	6015	73.9%
9.0	1592	19.6%
1.0	535	6.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_STRfh2
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	261
Missing (%)	3.1%
Memory size	65.8 KiB

0.0	6265
9.0	1345
1.0	532

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6265	74.6%
9.0	1345	16.0%
1.0	532	6.3%
(Missing)	261	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	6265	76.9%
9.0	1345	16.5%
1.0	532	6.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_STRfh3
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	261
Missing (%)	3.1%
Memory size	65.8 KiB

0.0	6664
9.0	1012
1.0	303
8.0	163

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6664	79.3%
9.0	1012	12.0%
1.0	303	3.6%
8.0	163	1.9%
(Missing)	261	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	6664	81.8%
9.0	1012	12.4%
1.0	303	3.7%
8.0	163	2.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_DMfh1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	261
Missing (%)	3.1%
Memory size	65.8 KiB

0.0	6330
9.0	1646
1.0	166

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6330	75.3%
9.0	1646	19.6%
1.0	166	2.0%
(Missing)	261	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	6330	77.7%
9.0	1646	20.2%
1.0	166	2.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_DMfh2
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	261
Missing (%)	3.1%
Memory size	65.8 KiB

0.0	6382
9.0	1370
1.0	390

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6382	75.9%
9.0	1370	16.3%
1.0	390	4.6%
(Missing)	261	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	6382	78.4%
9.0	1370	16.8%
1.0	390	4.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_DMfh3
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	261
Missing (%)	3.1%
Memory size	65.8 KiB

0.0	6044
9.0	990
1.0	945
8.0	163

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6044	71.9%
9.0	990	11.8%
1.0	945	11.2%
8.0	163	1.9%
(Missing)	261	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	6044	74.2%
9.0	990	12.2%
1.0	945	11.6%
8.0	163	2.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_HP
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	280
Missing (%)	3.3%
Memory size	65.8 KiB

3.0	5136
2.0	1679
1.0	1308

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3.0
2nd row	3.0
3rd row	2.0
4th row	2.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
3.0	5136	61.1%
2.0	1679	20.0%
1.0	1308	15.6%
(Missing)	280	3.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
3.0	5136	63.2%
2.0	1679	20.7%
1.0	1308	16.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_obe
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	6
Distinct (%)	0.1%
Missing	355
Missing (%)	4.2%
Infinite	0
Infinite (%)	0.0%
Mean	2.878230616

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	65.8 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	4
Maximum	6
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	0.9487072695
Coefficient of variation (CV)	0.3296147516
Kurtosis	-0.703233572
Mean	2.878230616
Median Absolute Deviation (MAD)	1
Skewness	0.3144840231
Sum	23164
Variance	0.9000454833
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
2	3156	37.6%
3	2276	27.1%
4	2121	25.2%
1	239	2.8%
5	235	2.8%
6	21	0.2%
(Missing)	355	4.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	239	2.8%
2	3156	37.6%
3	2276	27.1%
4	2121	25.2%
5	235	2.8%
6	21	0.2%

Value	Count	Frequency (%)
6	21	0.2%
5	235	2.8%
4	2121	25.2%
3	2276	27.1%
2	3156	37.6%
1	239	2.8%

HE_DM_HbA1c
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	1034
Missing (%)	12.3%
Memory size	65.8 KiB

2.0	2818
1.0	2504
3.0	2047

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	2.0
3rd row	3.0
4th row	2.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
2.0	2818	33.5%
1.0	2504	29.8%
3.0	2047	24.4%
(Missing)	1034	12.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2.0	2818	38.2%
1.0	2504	34.0%
3.0	2047	27.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_HCHOL
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	1032
Missing (%)	12.3%
Memory size	65.8 KiB

0.0	4726
1.0	2645

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	4726	56.2%
1.0	2645	31.5%
(Missing)	1032	12.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	4726	64.1%
1.0	2645	35.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_HTG
Categorical

MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	1765
Missing (%)	21.0%
Memory size	65.8 KiB

0.0	5822
1.0	816

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5822	69.3%
1.0	816	9.7%
(Missing)	1765	21.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	5822	87.7%
1.0	816	12.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_hepaB
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	698
Missing (%)	8.3%
Memory size	65.8 KiB

0.0	7511
1.0	194

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	7511	89.4%
1.0	194	2.3%
(Missing)	698	8.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	7511	97.5%
1.0	194	2.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_hepaC
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	698
Missing (%)	8.3%
Memory size	65.8 KiB

0.0	7585
1.0	120

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	7585	90.3%
1.0	120	1.4%
(Missing)	698	8.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	7585	98.4%
1.0	120	1.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

HE_anem
Categorical

MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	719
Missing (%)	8.6%
Memory size	65.8 KiB

0.0	6434
1.0	1250

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	6434	76.6%
1.0	1250	14.9%
(Missing)	719	8.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	6434	83.7%
1.0	1250	16.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

T_NQ_OCP
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	1125
Missing (%)	13.4%
Memory size	65.8 KiB

2.0	6079
1.0	1082
9.0	117

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	2.0
3rd row	2.0
4th row	1.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
2.0	6079	72.3%
1.0	1082	12.9%
9.0	117	1.4%
(Missing)	1125	13.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2.0	6079	83.5%
1.0	1082	14.9%
9.0	117	1.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

T_Q_VN
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	0.1%
Missing	1125
Missing (%)	13.4%
Memory size	65.8 KiB

2.0	5290
1.0	1843
9.0	117
3.0	28

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	1.0
3rd row	2.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
2.0	5290	63.0%
1.0	1843	21.9%
9.0	117	1.4%
3.0	28	0.3%
(Missing)	1125	13.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2.0	5290	72.7%
1.0	1843	25.3%
9.0	117	1.6%
3.0	28	0.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

L_BR
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	965
Missing (%)	11.5%
Memory size	65.8 KiB

0.0	7032
1.0	406

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	7032	83.7%
1.0	406	4.8%
(Missing)	965	11.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	7032	94.5%
1.0	406	5.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

L_LN
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	965
Missing (%)	11.5%
Memory size	65.8 KiB

0.0	6880
1.0	558

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6880	81.9%
1.0	558	6.6%
(Missing)	965	11.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	6880	92.5%
1.0	558	7.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

L_DN
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	965
Missing (%)	11.5%
Memory size	65.8 KiB

0.0	7069
1.0	369

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	7069	84.1%
1.0	369	4.4%
(Missing)	965	11.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	7069	95.0%
1.0	369	5.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

L_BR_FQ
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	0.1%
Missing	959
Missing (%)	11.4%
Memory size	65.8 KiB

1.0	6899
4.0	226
2.0	211
3.0	108

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	6899	82.1%
4.0	226	2.7%
2.0	211	2.5%
3.0	108	1.3%
(Missing)	959	11.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	6899	92.7%
4.0	226	3.0%
2.0	211	2.8%
3.0	108	1.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

L_LN_FQ
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	0.1%
Missing	959
Missing (%)	11.4%
Memory size	65.8 KiB

1.0	6782
2.0	316
4.0	213
3.0	133

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	2.0
4th row	2.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	6782	80.7%
2.0	316	3.8%
4.0	213	2.5%
3.0	133	1.6%
(Missing)	959	11.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	6782	91.1%
2.0	316	4.2%
4.0	213	2.9%
3.0	133	1.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

L_DN_FQ
Categorical

HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	0.1%
Missing	959
Missing (%)	11.4%
Memory size	65.8 KiB

1.0	7130
2.0	211
3.0	61
4.0	42

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	7130	84.9%
2.0	211	2.5%
3.0	61	0.7%
4.0	42	0.5%
(Missing)	959	11.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	7130	95.8%
2.0	211	2.8%
3.0	61	0.8%
4.0	42	0.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

L_OUT_FQ
Real number (ℝ_≥0)

MISSING

Distinct	7
Distinct (%)	0.1%
Missing	959
Missing (%)	11.4%
Infinite	0
Infinite (%)	0.0%
Mean	5.460102096

Minimum	1
Maximum	7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	65.8 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	5
median	6
Q3	6
95-th percentile	7
Maximum	7
Range	6
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.384990379
Coefficient of variation (CV)	0.2536564985
Kurtosis	0.7598935293
Mean	5.460102096
Median Absolute Deviation (MAD)	1
Skewness	-1.041808582
Sum	40645
Variance	1.91819835
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
6	2428	28.9%
5	1849	22.0%
7	1808	21.5%
4	534	6.4%
3	482	5.7%
2	251	3.0%
1	92	1.1%
(Missing)	959	11.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	92	1.1%
2	251	3.0%
3	482	5.7%
4	534	6.4%
5	1849	22.0%
6	2428	28.9%
7	1808	21.5%

Value	Count	Frequency (%)
7	1808	21.5%
6	2428	28.9%
5	1849	22.0%
4	534	6.4%
3	482	5.7%
2	251	3.0%
1	92	1.1%

LS_1YR
Categorical

MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	959
Missing (%)	11.4%
Memory size	65.8 KiB

1.0	3963
2.0	3481

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	2.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
1.0	3963	47.2%
2.0	3481	41.4%
(Missing)	959	11.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	3963	53.2%
2.0	3481	46.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	ID	year	sex	age	HE_ht	HE_wt	HE_BMI	M_2_yr	M_2_rs	LQ_1EQL	LQ_2EQL	LQ_3EQL	LQ_4EQL	LQ_5EQL	BO1_1	BO2_1	BD1_11	BD2_1	BD2_31	dr_month	BP16_1	BP16_2	BP1	mh_stress	BS1_1	BS3_1	BS3_2	BS3_3	BS12_47	BS8_2	BS9_2	BS13	sm_presnt	BE3_71	BE3_72	BE3_81	BE3_82	BE3_75	BE3_76	BE3_85	BE3_86	BE3_91	BE8_1	BE3_31	BE3_32	BE5_1	pa_aerobic	DI1_pr	DI2_pr	DI3_pr	DI4_pr	DI5_pr	DM2_pr	DM3_pr	DM4_pr	DJ2_pr	DJ4_pr	DJ6_pr	DJ8_pr	DI6_pr	DF2_pr	DL1_pr	DE1_pr	DE2_pr	DH4_pr	DC1_pr	DC2_pr	DC3_pr	DC4_pr	DC5_pr	DC6_pr	DC7_pr	DK8_pr	DK9_pr	DK4_pr	HE_Upro	HE_THfh1	HE_THfh2	HE_THfh3	HE_HBfh1	HE_HBfh2	HE_HBfh3	HE_fh	HE_HPfh1	HE_HPfh2	HE_HPfh3	HE_HLfh1	HE_HLfh2	HE_HLfh3	HE_IHDfh1	HE_IHDfh2	HE_IHDfh3	HE_STRfh1	HE_STRfh2	HE_STRfh3	HE_DMfh1	HE_DMfh2	HE_DMfh3	HE_HP	HE_obe	HE_DM_HbA1c	HE_HCHOL	HE_HTG	HE_hepaB	HE_hepaC	HE_anem	T_NQ_OCP	T_Q_VN	L_BR	L_LN	L_DN	L_BR_FQ	L_LN_FQ	L_DN_FQ	L_OUT_FQ	LS_1YR
0	b'A651228902'	2016.0	2.0	78.0	150.1	52.7	23.391024	2.0	88.0	2.0	1.0	1.0	2.0	1.0	3.0	1.0	8.0	8.0	8.0	0.0	480.0	480.0	3.0	0.0	3.0	8.0	888.0	88.0	8.0	8.0	3.0	2.0	0.0	2.0	8.0	2.0	8.0	2.0	8.0	2.0	8.0	1.0	12.0	5.0	2.0	1.0	1.0	1.0	1.0	8.0	8.0	8.0	1.0	8.0	8.0	8.0	8.0	0.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	0.0	8.0	8.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	1.0	0.0	0.0	1.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	3.0	2.0	2.0	1.0	0.0	1.0	0.0	0.0	2.0	2.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1	b'A651417601'	2016.0	1.0	80.0	155.2	61.6	25.573919	2.0	88.0	1.0	1.0	1.0	1.0	2.0	9.0	9.0	9.0	9.0	9.0	NaN	390.0	420.0	9.0	NaN	9.0	9.0	999.0	99.0	9.0	9.0	9.0	9.0	NaN	2.0	8.0	2.0	8.0	2.0	8.0	2.0	8.0	2.0	10.0	6.0	1.0	1.0	0.0	1.0	1.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	1.0	8.0	1.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	3.0	3.0	2.0	1.0	0.0	0.0	0.0	0.0	2.0	1.0	0.0	0.0	0.0	1.0	1.0	1.0	5.0	1.0
2	b'A652228901'	2016.0	1.0	66.0	170.8	66.9	22.932446	2.0	88.0	1.0	1.0	1.0	1.0	1.0	1.0	4.0	5.0	4.0	4.0	1.0	390.0	390.0	3.0	0.0	2.0	3.0	888.0	88.0	8.0	2.0	3.0	1.0	0.0	2.0	8.0	2.0	8.0	2.0	8.0	2.0	8.0	1.0	10.0	4.0	0.0	1.0	1.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	2.0	2.0	3.0	0.0	NaN	0.0	0.0	0.0	2.0	2.0	0.0	0.0	0.0	1.0	1.0	1.0	2.0	1.0
3	b'A653184701'	2016.0	2.0	75.0	144.6	49.9	23.865139	1.0	3.0	2.0	1.0	2.0	3.0	3.0	3.0	4.0	8.0	8.0	8.0	0.0	360.0	360.0	1.0	1.0	3.0	8.0	888.0	88.0	8.0	8.0	3.0	2.0	0.0	2.0	8.0	2.0	8.0	2.0	8.0	2.0	8.0	2.0	99.0	1.0	88.0	1.0	0.0	8.0	1.0	8.0	8.0	8.0	8.0	8.0	1.0	8.0	8.0	8.0	8.0	8.0	1.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	1.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	1.0	2.0	2.0	2.0	1.0	0.0	0.0	0.0	1.0	1.0	2.0	0.0	0.0	0.0	1.0	2.0	1.0	7.0	2.0
4	b'A653235705'	2016.0	2.0	79.0	147.9	77.7	35.520958	1.0	2.0	2.0	1.0	1.0	2.0	1.0	1.0	1.0	5.0	1.0	1.0	1.0	240.0	240.0	3.0	0.0	3.0	8.0	888.0	88.0	8.0	8.0	3.0	2.0	0.0	2.0	8.0	2.0	8.0	2.0	8.0	2.0	8.0	2.0	99.0	1.0	88.0	1.0	0.0	1.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	1.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	3.0	3.0	3.0	0.0	0.0	0.0	0.0	1.0	2.0	2.0	0.0	1.0	0.0	1.0	2.0	1.0	7.0	2.0
5	b'A653252701'	2016.0	2.0	78.0	145.3	52.1	24.677803	2.0	88.0	2.0	1.0	1.0	2.0	1.0	1.0	4.0	2.0	1.0	1.0	0.0	420.0	420.0	4.0	0.0	3.0	8.0	888.0	88.0	8.0	2.0	2.0	2.0	0.0	2.0	8.0	2.0	8.0	2.0	8.0	2.0	8.0	1.0	8.0	6.0	0.0	1.0	1.0	1.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	3.0	2.0	1.0	0.0	0.0	0.0	0.0	1.0	2.0	2.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
6	b'A653302001'	2016.0	1.0	66.0	168.0	81.6	28.911565	2.0	88.0	1.0	1.0	1.0	1.0	1.0	1.0	4.0	5.0	4.0	5.0	1.0	420.0	420.0	3.0	0.0	2.0	3.0	888.0	88.0	8.0	8.0	3.0	2.0	0.0	2.0	8.0	2.0	8.0	2.0	8.0	2.0	8.0	1.0	10.0	3.0	0.0	1.0	0.0	1.0	1.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	1.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	3.0	3.0	3.0	1.0	1.0	0.0	0.0	0.0	2.0	2.0	0.0	0.0	0.0	1.0	1.0	1.0	4.0	2.0
7	b'A653370001'	2016.0	1.0	75.0	177.4	63.1	20.050358	9.0	99.0	9.0	9.0	9.0	9.0	9.0	1.0	4.0	1.0	8.0	8.0	0.0	9999.0	9999.0	2.0	1.0	2.0	1.0	3.0	88.0	8.0	8.0	2.0	2.0	1.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	99.0	99.0	99.0	9.0	NaN	8.0	8.0	9.0	NaN	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	8.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	NaN	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	1.0	2.0	NaN	NaN	NaN	NaN	NaN	NaN	2.0	2.0	0.0	0.0	0.0	1.0	1.0	1.0	7.0	1.0
8	b'A653370002'	2016.0	2.0	71.0	153.4	51.9	22.055486	9.0	99.0	9.0	9.0	9.0	9.0	9.0	1.0	2.0	1.0	8.0	8.0	0.0	9999.0	9999.0	2.0	1.0	3.0	8.0	888.0	88.0	8.0	8.0	2.0	2.0	0.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	99.0	99.0	99.0	9.0	NaN	1.0	8.0	9.0	NaN	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	8.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	9.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	3.0	2.0	1.0	0.0	0.0	0.0	0.0	1.0	2.0	2.0	0.0	0.0	0.0	1.0	1.0	1.0	5.0	1.0
9	b'A653383601'	2016.0	2.0	68.0	152.5	70.1	30.142435	2.0	88.0	1.0	1.0	1.0	1.0	1.0	3.0	1.0	8.0	8.0	8.0	0.0	300.0	240.0	4.0	0.0	1.0	3.0	888.0	88.0	8.0	2.0	3.0	2.0	0.0	2.0	8.0	2.0	8.0	2.0	8.0	2.0	8.0	1.0	12.0	8.0	1.0	1.0	1.0	1.0	8.0	8.0	8.0	8.0	1.0	8.0	1.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	1.0	1.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	3.0	3.0	2.0	0.0	0.0	0.0	0.0	0.0	2.0	2.0	0.0	0.0	0.0	1.0	1.0	1.0	5.0	1.0

Last rows

	ID	year	sex	age	HE_ht	HE_wt	HE_BMI	M_2_yr	M_2_rs	LQ_1EQL	LQ_2EQL	LQ_3EQL	LQ_4EQL	LQ_5EQL	BO1_1	BO2_1	BD1_11	BD2_1	BD2_31	dr_month	BP16_1	BP16_2	BP1	mh_stress	BS1_1	BS3_1	BS3_2	BS3_3	BS12_47	BS8_2	BS9_2	BS13	BE3_71	BE3_72	BE3_81	BE3_82	BE3_75	BE3_76	BE3_85	BE3_86	BE3_91	BE8_1	BE3_31	BE3_32	BE5_1	pa_aerobic	DI1_pr	DI2_pr	DI3_pr	DI4_pr	DI5_pr	DM2_pr	DM3_pr	DM4_pr	DJ2_pr	DJ4_pr	DJ6_pr	DJ8_pr	DI6_pr	DF2_pr	DL1_pr	DE1_pr	DE2_pr	DH4_pr	DC1_pr	DC2_pr	DC3_pr	DC4_pr	DC5_pr	DC6_pr	DC7_pr	DK8_pr	DK9_pr	DK4_pr	HE_THfh1	HE_THfh2	HE_HBfh1	HE_fh	HE_HPfh1	HE_HPfh2	HE_HPfh3	HE_HLfh1	HE_IHDfh1	HE_STRfh1	HE_STRfh2	HE_DMfh1	HE_DMfh2	HE_DMfh3	HE_HP	HE_obe	HE_DM_HbA1c	HE_HCHOL	HE_HTG	T_NQ_OCP	T_Q_VN	L_BR_FQ	L_LN_FQ	L_DN_FQ	L_OUT_FQ	LS_1YR
8393	b'R802410802'	2020.0	2.0	65.0	157.0	54.1	21.948152	1.0	5.0	2.0	1.0	2.0	3.0	2.0	2.0	2.0	1.0	8.0	8.0	0.0	6.0	6.0	1.0	1.0	3.0	8.0	888.0	88.0	8.0	8.0	3.0	2.0	2.0	8.0	2.0	8.0	2.0	8.0	2.0	8.0	1.0	6.0	8.0	0.0	5.0	0.0	8.0	1.0	8.0	8.0	8.0	1.0	8.0	1.0	8.0	1.0	1.0	8.0	8.0	8.0	8.0	1.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	9.0	0.0	9.0	1.0	9.0	1.0	1.0	9.0	9.0	9.0	0.0	9.0	0.0	0.0	1.0	2.0	3.0	1.0	0.0	2.0	2.0	1.0	1.0	1.0	7.0	1.0
8394	b'R802412501'	2020.0	1.0	74.0	163.4	61.0	22.846818	2.0	88.0	1.0	1.0	1.0	1.0	1.0	1.0	2.0	6.0	3.0	1.0	1.0	6.0	6.0	3.0	0.0	2.0	3.0	888.0	88.0	8.0	2.0	3.0	2.0	2.0	8.0	2.0	8.0	2.0	8.0	2.0	8.0	1.0	6.0	8.0	0.0	1.0	1.0	1.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	3.0	2.0	2.0	0.0	0.0	2.0	2.0	1.0	1.0	1.0	6.0	2.0
8395	b'R802412502'	2020.0	2.0	75.0	149.3	59.4	26.648136	2.0	88.0	2.0	1.0	2.0	2.0	2.0	1.0	1.0	8.0	8.0	8.0	0.0	6.0	6.0	3.0	0.0	3.0	8.0	888.0	88.0	8.0	2.0	3.0	2.0	2.0	8.0	2.0	8.0	2.0	8.0	2.0	8.0	1.0	6.0	8.0	1.0	1.0	1.0	1.0	8.0	8.0	8.0	8.0	1.0	8.0	1.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	3.0	4.0	2.0	0.0	0.0	2.0	2.0	1.0	4.0	1.0	6.0	2.0
8396	b'R802415902'	2020.0	2.0	74.0	159.3	68.6	27.032895	2.0	88.0	2.0	1.0	2.0	2.0	1.0	3.0	4.0	1.0	8.0	8.0	0.0	7.0	7.0	3.0	0.0	3.0	8.0	888.0	88.0	8.0	2.0	3.0	2.0	2.0	8.0	2.0	8.0	2.0	8.0	2.0	8.0	1.0	6.0	8.0	0.0	1.0	0.0	1.0	1.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	0.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	1.0	3.0	4.0	1.0	1.0	0.0	1.0	2.0	1.0	1.0	1.0	7.0	2.0
8397	b'R803409101'	2020.0	1.0	66.0	163.6	64.2	23.986585	2.0	88.0	1.0	1.0	1.0	1.0	1.0	1.0	4.0	2.0	2.0	2.0	0.0	6.0	8.0	3.0	0.0	3.0	8.0	888.0	88.0	8.0	2.0	3.0	2.0	2.0	8.0	2.0	8.0	2.0	8.0	2.0	8.0	2.0	5.0	1.0	88.0	1.0	0.0	8.0	1.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	2.0	3.0	2.0	1.0	0.0	1.0	2.0	1.0	1.0	1.0	1.0	1.0
8398	b'R804176202'	2020.0	1.0	66.0	163.7	70.5	26.308238	2.0	88.0	1.0	2.0	1.0	1.0	1.0	1.0	1.0	4.0	2.0	2.0	1.0	8.0	8.0	4.0	0.0	3.0	8.0	888.0	88.0	8.0	8.0	3.0	2.0	2.0	8.0	2.0	8.0	2.0	8.0	2.0	8.0	2.0	7.0	8.0	2.0	6.0	0.0	1.0	1.0	8.0	8.0	8.0	1.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	9.0	0.0	9.0	0.0	9.0	0.0	0.0	9.0	9.0	9.0	0.0	9.0	0.0	0.0	3.0	4.0	2.0	1.0	0.0	2.0	2.0	1.0	1.0	1.0	6.0	1.0
8399	b'R804205101'	2020.0	1.0	75.0	163.1	69.5	26.126238	2.0	88.0	1.0	1.0	1.0	1.0	1.0	1.0	2.0	3.0	1.0	1.0	1.0	5.0	5.0	2.0	1.0	3.0	8.0	888.0	88.0	8.0	2.0	3.0	2.0	2.0	8.0	2.0	8.0	2.0	8.0	2.0	8.0	1.0	10.0	4.0	0.0	1.0	1.0	0.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	1.0	8.0	0.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	2.0	4.0	3.0	0.0	1.0	2.0	1.0	1.0	1.0	1.0	6.0	1.0
8400	b'R804205102'	2020.0	2.0	65.0	163.0	61.8	23.260190	2.0	88.0	1.0	1.0	1.0	3.0	1.0	1.0	1.0	8.0	8.0	8.0	0.0	7.0	10.0	4.0	0.0	3.0	8.0	888.0	88.0	8.0	8.0	3.0	1.0	2.0	8.0	2.0	8.0	2.0	8.0	2.0	8.0	2.0	5.0	2.0	2.0	1.0	0.0	8.0	1.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	3.0	2.0	1.0	0.0	2.0	2.0	1.0	1.0	1.0	6.0	1.0
8401	b'R804344501'	2020.0	2.0	65.0	155.6	59.5	24.575241	2.0	88.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	2.0	1.0	1.0	0.0	8.0	8.0	2.0	1.0	3.0	8.0	888.0	88.0	8.0	2.0	3.0	2.0	2.0	8.0	2.0	8.0	2.0	8.0	2.0	8.0	2.0	10.0	2.0	0.0	1.0	0.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	0.0	0.0	8.0	0.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	0.0	1.0	0.0	1.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	2.0	3.0	3.0	0.0	1.0	2.0	2.0	1.0	1.0	3.0	4.0	1.0
8402	b'R804371701'	2020.0	1.0	65.0	171.5	76.3	25.941572	2.0	88.0	1.0	1.0	1.0	1.0	1.0	1.0	1.0	4.0	3.0	3.0	1.0	7.0	7.0	3.0	0.0	2.0	3.0	888.0	88.0	8.0	8.0	3.0	2.0	2.0	8.0	2.0	8.0	2.0	8.0	2.0	8.0	1.0	4.0	8.0	4.0	6.0	0.0	8.0	1.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	1.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	8.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	1.0	0.0	2.0	4.0	2.0	1.0	0.0	1.0	2.0	1.0	1.0	1.0	6.0	1.0

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks